XXII BrainStorming Day

Size: px
Start display at page:

Download "XXII BrainStorming Day"

Transcription

1 UNIVERSITA DEGLI STUDI DI CATANIA FACOLTA DI INGEGNERIA PhD course in Electronics, Automation and Control of Complex Systems - XXV Cycle DIPARTIMENTO DI INGEGNERIA ELETTRICA ELETTRONICA E INFORMATICA XXII BrainStorming Day Tutor : Prof. P. Arena Coordinator : Prof. L. Fortuna Alessandra Vitanza PhD Student International PhD - XXV Cycle INGV Sez. Catania 20 th May 2010

2 XXII BrainStorming Day Activities Overview: SPARKRS4CS IBB Experiments - Adaptive Termination - Integration (Simulated/real Environment) Cooperation - Threshold adaptation with STDP Learning method Task 1: Implementation and test of Insect Brain Architecture Experiments Task 2: Investigation & combination of learning methods for cooperative approaches SPARKLiN 2 SPARK Library for Neural Networks Task 3: Investigation and implementation of supporting tools.

3 Description: wild-type flies are attracted by an object presented beyond a water-filled moat, stopped walking at the edge of the moat and turned into a new direction. MB-defective flies kept walking toward the attractive but inaccessible object. Experiment: The robot is placed into an arena whith attractive objects. Some obstacles can make unreachable the objects. When an object has been detected, the robot should switch the behaviour from Exploration to Object Approach. Adaptive Termination Involved Blocks: - MB (the MB(2) block): Evaluation of on-going behaviour - BSN: Choice of on-going behaviour - CX: Visual targeting input

4 Adaptive Termination

5 Wild type Adaptive Termination MB-defective mutant

6 Adaptive Termination

7

8 Description: A robot controlled through the insect brain architecture behaves in an environment that allows the concurrent evolution of different blocks Involved Blocks: Complete architecture IBB Experiments Integration Arena: The arena includes visual targets, odor plumes, obstacles

9 Evaluation of sensory State Obstacle recognition Landmark detection setting Mushroom Bodies selection execution Approach Homing Sleep Exploration EB

10 Evaluation of sensory State IBB Experiments Obstacle recognition Landmark detection Integration setting Mushroom Bodies selection execution Approach Homing Sleep Exploration EB

11 Evaluation of sensory State Obstacle recognition Landmark detection Integration setting Mushroom Bodies selection execution Approach Homing Sleep Exploration EB

12 Evaluation of sensory State Obstacle recognition Landmark detection Integration setting Mushroom Bodies selection execution Approach Homing Sleep Exploration EB

13 Evaluation of sensory State IBB Experiments Obstacle recognition Landmark detection Integration setting Mushroom Bodies selection execution Approach Homing Exploration EB Sleep/No Activity

14 Integration

15 Integration Simulation results MB Odor Learning Escaping behaviour

16 Integration Simulation results

17 Integration Robot Experiment

18 XXII BrainStorming Day Activities Overview: SPARKRS4CS IBB Experiments - Adaptive Termination - Integration (Simulated/real Environment ) Cooperation - Threshold adaptation with STDP Learning method Task 1: Implementation and test of Insect Brain Architecture Experiments Task 2: Investigation & combination of learning methods for cooperative approaches SPARKLiN 2 SPARK Library for Neural Networks Task 3: Investigation and implementation of supporting tools.

19 Cooperation with SNN specialization in a SNN for obstacle avoidance and visual target reaching by using: - an environmentally mediated global Reward - Threshold adaptation New IDEA: Combination with unsupervised learning paradigm: STDP Learning

20 Cooperation with SNN Correlation based navigation algorithm With STDP Learning Obstacle avoidance Network Object approaching Network Threshold adaptation for role specialization

21 Cooperation with SNN Before Learning After Learning ~30s ~130s ~60s Fusion of synaptic and threshold plasticity can be useful to investigate: - interplay between Specialization mechanism and STDP Learning - improvement in speed-up of the Specialization - improvement of the learning convergence

22 Papers & Courses Published papers: G.Interdonato, V.Pappalardo, M.P.Russo, A.Vitanza: An efficient motion system for autonomous robots. Paper submitted to the IEEE ISA Student Contest Publicized in Proc. of 3rd ISA European Student Paper Competition, St. Petersburg, Russia, May (First italian classified). P. Arena, S. De Fiore, L. Patanè and A. Vitanza: A new bio-inspired perceptual control architecture applied to solving navigation tasks, Proc. of SPIE, Vol. 7365, (2009); doi: / P. Arena, M. Cosentino, L. Patané, A. Vitanza: SPARKRS4CS: a software/hardware framework for cognitive architectures (Invited Paper), Proc. of SPIE, Vol (2011) [8068A-18]; doi: / Attended/Attending Courses: Computer Vision (prof. Battiato DMI) Robotica Industriale (prof. Muscato DIEES) Informatica musicale (prof. M. Salfi DMI) Summer/Professional Schools: Grid School: Course organized by Consorzio Cometa & Cea. University of Catania Sept Professional School:3rd Euro-Mediterranean UNIversity Summer Semester Catania, 30 Aug.-10 Sept PhD School: Electronic, Automation and Control of Complex Systems.4-28 Ott.2010 Conferences: SPIE Microtechnologies (April April, Prague Congress Centre, Czech Republic)

Laboratorio di Intelligenza Artificiale e Robotica

Laboratorio di Intelligenza Artificiale e Robotica Laboratorio di Intelligenza Artificiale e Robotica A.A. 2008-2009 Outline 2 Machine Learning Unsupervised Learning Supervised Learning Reinforcement Learning Genetic Algorithms Genetics-Based Machine Learning

More information

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur Module 12 Machine Learning 12.1 Instructional Objective The students should understand the concept of learning systems Students should learn about different aspects of a learning system Students should

More information

Laboratorio di Intelligenza Artificiale e Robotica

Laboratorio di Intelligenza Artificiale e Robotica Laboratorio di Intelligenza Artificiale e Robotica A.A. 2008-2009 Outline 2 Machine Learning Unsupervised Learning Supervised Learning Reinforcement Learning Genetic Algorithms Genetics-Based Machine Learning

More information

Robot Shaping: Developing Autonomous Agents through Learning*

Robot Shaping: Developing Autonomous Agents through Learning* TO APPEAR IN ARTIFICIAL INTELLIGENCE JOURNAL ROBOT SHAPING 2 1. Introduction Robot Shaping: Developing Autonomous Agents through Learning* Marco Dorigo # Marco Colombetti + INTERNATIONAL COMPUTER SCIENCE

More information

On the Combined Behavior of Autonomous Resource Management Agents

On the Combined Behavior of Autonomous Resource Management Agents On the Combined Behavior of Autonomous Resource Management Agents Siri Fagernes 1 and Alva L. Couch 2 1 Faculty of Engineering Oslo University College Oslo, Norway siri.fagernes@iu.hio.no 2 Computer Science

More information

LEGO MINDSTORMS Education EV3 Coding Activities

LEGO MINDSTORMS Education EV3 Coding Activities LEGO MINDSTORMS Education EV3 Coding Activities s t e e h s k r o W t n e d Stu LEGOeducation.com/MINDSTORMS Contents ACTIVITY 1 Performing a Three Point Turn 3-6 ACTIVITY 2 Written Instructions for a

More information

OPTIMIZATINON OF TRAINING SETS FOR HEBBIAN-LEARNING- BASED CLASSIFIERS

OPTIMIZATINON OF TRAINING SETS FOR HEBBIAN-LEARNING- BASED CLASSIFIERS OPTIMIZATINON OF TRAINING SETS FOR HEBBIAN-LEARNING- BASED CLASSIFIERS Václav Kocian, Eva Volná, Michal Janošek, Martin Kotyrba University of Ostrava Department of Informatics and Computers Dvořákova 7,

More information

INPE São José dos Campos

INPE São José dos Campos INPE-5479 PRE/1778 MONLINEAR ASPECTS OF DATA INTEGRATION FOR LAND COVER CLASSIFICATION IN A NEDRAL NETWORK ENVIRONNENT Maria Suelena S. Barros Valter Rodrigues INPE São José dos Campos 1993 SECRETARIA

More information

ISFA2008U_120 A SCHEDULING REINFORCEMENT LEARNING ALGORITHM

ISFA2008U_120 A SCHEDULING REINFORCEMENT LEARNING ALGORITHM Proceedings of 28 ISFA 28 International Symposium on Flexible Automation Atlanta, GA, USA June 23-26, 28 ISFA28U_12 A SCHEDULING REINFORCEMENT LEARNING ALGORITHM Amit Gil, Helman Stern, Yael Edan, and

More information

Accelerated Learning Course Outline

Accelerated Learning Course Outline Accelerated Learning Course Outline Course Description The purpose of this course is to make the advances in the field of brain research more accessible to educators. The techniques and strategies of Accelerated

More information

Seminar - Organic Computing

Seminar - Organic Computing Seminar - Organic Computing Self-Organisation of OC-Systems Markus Franke 25.01.2006 Typeset by FoilTEX Timetable 1. Overview 2. Characteristics of SO-Systems 3. Concern with Nature 4. Design-Concepts

More information

Accelerated Learning Online. Course Outline

Accelerated Learning Online. Course Outline Accelerated Learning Online Course Outline Course Description The purpose of this course is to make the advances in the field of brain research more accessible to educators. The techniques and strategies

More information

ECE-492 SENIOR ADVANCED DESIGN PROJECT

ECE-492 SENIOR ADVANCED DESIGN PROJECT ECE-492 SENIOR ADVANCED DESIGN PROJECT Meeting #3 1 ECE-492 Meeting#3 Q1: Who is not on a team? Q2: Which students/teams still did not select a topic? 2 ENGINEERING DESIGN You have studied a great deal

More information

Evolution of Symbolisation in Chimpanzees and Neural Nets

Evolution of Symbolisation in Chimpanzees and Neural Nets Evolution of Symbolisation in Chimpanzees and Neural Nets Angelo Cangelosi Centre for Neural and Adaptive Systems University of Plymouth (UK) a.cangelosi@plymouth.ac.uk Introduction Animal communication

More information

Rover Races Grades: 3-5 Prep Time: ~45 Minutes Lesson Time: ~105 minutes

Rover Races Grades: 3-5 Prep Time: ~45 Minutes Lesson Time: ~105 minutes Rover Races Grades: 3-5 Prep Time: ~45 Minutes Lesson Time: ~105 minutes WHAT STUDENTS DO: Establishing Communication Procedures Following Curiosity on Mars often means roving to places with interesting

More information

UNIVERSITÀ DEGLI STUDI DI ROMA TOR VERGATA. Economia. Facoltà di CEIS MASTER ECONOMICS ECONOMETRICS

UNIVERSITÀ DEGLI STUDI DI ROMA TOR VERGATA. Economia. Facoltà di CEIS MASTER ECONOMICS ECONOMETRICS UNIVERSITÀ DEGLI STUDI DI ROMA TOR VERGATA Facoltà di Economia CEIS TOR VERGATA MASTER IN ECONOMICS PHD IN ECONOMETRICS AND EMPIRICAL ECONOMICS MASTER IN ECONOMICS Program Overview MEI is a one-year program

More information

The total number of seats is established by law n. 264, August 2 nd 1999.

The total number of seats is established by law n. 264, August 2 nd 1999. UNIVERSITÀ DEGLI STUDI DI ROMA TOR VERGATA 1 SCHOOL OF SCIENCE and SCHOOL OF MEDICINE AND SURGERY ADMISSION PROCEDURES 5-year Single-cycle Degree Course in PHARMACY code LM-13 ( by Ministerial Decree n.

More information

Operational Knowledge Management: a way to manage competence

Operational Knowledge Management: a way to manage competence Operational Knowledge Management: a way to manage competence Giulio Valente Dipartimento di Informatica Universita di Torino Torino (ITALY) e-mail: valenteg@di.unito.it Alessandro Rigallo Telecom Italia

More information

Cognitive Self- Regulation

Cognitive Self- Regulation Cognitive Self- Regulation Cognitive Domain Set learning goals Plan and execute several steps Focus, and switch focus Monitor and assess performance Manage time effectively Use learning aids Understand

More information

Abstractions and the Brain

Abstractions and the Brain Abstractions and the Brain Brian D. Josephson Department of Physics, University of Cambridge Cavendish Lab. Madingley Road Cambridge, UK. CB3 OHE bdj10@cam.ac.uk http://www.tcm.phy.cam.ac.uk/~bdj10 ABSTRACT

More information

SELF-STUDY QUESTIONNAIRE FOR REVIEW of the COMPUTER SCIENCE PROGRAM

SELF-STUDY QUESTIONNAIRE FOR REVIEW of the COMPUTER SCIENCE PROGRAM Disclaimer: This Self Study was developed to meet the goals of the CAC Session at the 2006 Summit. It should not be considered as a model or a template. ABET Computing Accreditation Commission SELF-STUDY

More information

Problems of the Arabic OCR: New Attitudes

Problems of the Arabic OCR: New Attitudes Problems of the Arabic OCR: New Attitudes Prof. O.Redkin, Dr. O.Bernikova Department of Asian and African Studies, St. Petersburg State University, St Petersburg, Russia Abstract - This paper reviews existing

More information

Multisensor Data Fusion: From Algorithms And Architectural Design To Applications (Devices, Circuits, And Systems)

Multisensor Data Fusion: From Algorithms And Architectural Design To Applications (Devices, Circuits, And Systems) Multisensor Data Fusion: From Algorithms And Architectural Design To Applications (Devices, Circuits, And Systems) If searching for the ebook Multisensor Data Fusion: From Algorithms and Architectural

More information

Surprise-Based Learning for Autonomous Systems

Surprise-Based Learning for Autonomous Systems Surprise-Based Learning for Autonomous Systems Nadeesha Ranasinghe and Wei-Min Shen ABSTRACT Dealing with unexpected situations is a key challenge faced by autonomous robots. This paper describes a promising

More information

Session 2B From understanding perspectives to informing public policy the potential and challenges for Q findings to inform survey design

Session 2B From understanding perspectives to informing public policy the potential and challenges for Q findings to inform survey design Session 2B From understanding perspectives to informing public policy the potential and challenges for Q findings to inform survey design Paper #3 Five Q-to-survey approaches: did they work? Job van Exel

More information

Proposal of Pattern Recognition as a necessary and sufficient principle to Cognitive Science

Proposal of Pattern Recognition as a necessary and sufficient principle to Cognitive Science Proposal of Pattern Recognition as a necessary and sufficient principle to Cognitive Science Gilberto de Paiva Sao Paulo Brazil (May 2011) gilbertodpaiva@gmail.com Abstract. Despite the prevalence of the

More information

What is beautiful is useful visual appeal and expected information quality

What is beautiful is useful visual appeal and expected information quality What is beautiful is useful visual appeal and expected information quality Thea van der Geest University of Twente T.m.vandergeest@utwente.nl Raymond van Dongelen Noordelijke Hogeschool Leeuwarden Dongelen@nhl.nl

More information

Learning Methods for Fuzzy Systems

Learning Methods for Fuzzy Systems Learning Methods for Fuzzy Systems Rudolf Kruse and Andreas Nürnberger Department of Computer Science, University of Magdeburg Universitätsplatz, D-396 Magdeburg, Germany Phone : +49.39.67.876, Fax : +49.39.67.8

More information

Courses below are sorted by the column Field of study for your better orientation. The list is subject to change.

Courses below are sorted by the column Field of study for your better orientation. The list is subject to change. Provisional list of courses for Exchange students Spring semester 2017: University of Economics, Prague Courses stated below are offered by particular departments and faculties at the University of Economics,

More information

AUTOMATED FABRIC DEFECT INSPECTION: A SURVEY OF CLASSIFIERS

AUTOMATED FABRIC DEFECT INSPECTION: A SURVEY OF CLASSIFIERS AUTOMATED FABRIC DEFECT INSPECTION: A SURVEY OF CLASSIFIERS Md. Tarek Habib 1, Rahat Hossain Faisal 2, M. Rokonuzzaman 3, Farruk Ahmed 4 1 Department of Computer Science and Engineering, Prime University,

More information

KEYNOTE SPEAKER. Introduce some Fearless Leadership into your next event. corrinnearmour.com 1

KEYNOTE SPEAKER. Introduce some Fearless Leadership into your next event. corrinnearmour.com 1 KEYNOTE SPEAKER Introduce some Fearless Leadership into your next event corrinnearmour.com 1 Corrinne Armour Waging a war on wasted potential, Corrinne s mission is to spark people to play their big game.

More information

MATH Study Skills Workshop

MATH Study Skills Workshop MATH Study Skills Workshop Become an expert math student through understanding your personal learning style, by incorporating practical memory skills, and by becoming proficient in test taking. 11/30/15

More information

Faculty of Architecture ACCADEMIC YEAR 2017/2018. CALL FOR ADMISSION FOR TRAINING COURSE SUMMER SCHOOL Reading the historic framework

Faculty of Architecture ACCADEMIC YEAR 2017/2018. CALL FOR ADMISSION FOR TRAINING COURSE SUMMER SCHOOL Reading the historic framework Faculty of Architecture ACCADEMIC YEAR 2017/2018 CALL FOR ADMISSION FOR TRAINING COURSE SUMMER SCHOOL Reading the historic framework SCIENTIFIC DIRECTOR: Prof. Daniela Esposito SCIENTIFIC COMMITTEE: Prof.

More information

Curriculum Vitae of Gianluca Susi Electronics Engineer, Ph.D

Curriculum Vitae of Gianluca Susi Electronics Engineer, Ph.D Curriculum Vitae of Gianluca Susi Electronics Engineer, Ph.D Personal Information Name SURNAME Mail Nationality Gianluca SUSI giansu@live.it Italian Birthyear 1982 Gender Researcher unique identifier Male

More information

Knowledge-Based - Systems

Knowledge-Based - Systems Knowledge-Based - Systems ; Rajendra Arvind Akerkar Chairman, Technomathematics Research Foundation and Senior Researcher, Western Norway Research institute Priti Srinivas Sajja Sardar Patel University

More information

On-Line Data Analytics

On-Line Data Analytics International Journal of Computer Applications in Engineering Sciences [VOL I, ISSUE III, SEPTEMBER 2011] [ISSN: 2231-4946] On-Line Data Analytics Yugandhar Vemulapalli #, Devarapalli Raghu *, Raja Jacob

More information

Xinyu Tang. Education. Research Interests. Honors and Awards. Professional Experience

Xinyu Tang. Education. Research Interests. Honors and Awards. Professional Experience Xinyu Tang Parasol Laboratory Department of Computer Science Texas A&M University, TAMU 3112 College Station, TX 77843-3112 phone:(979)847-8835 fax: (979)458-0425 email: xinyut@tamu.edu url: http://parasol.tamu.edu/people/xinyut

More information

QUALIFICATION INSTITUTION DATE

QUALIFICATION INSTITUTION DATE CURRICULUM VITAE: DR. JOHAN GOUWS Personal Data Surname Gouws Name Johan Gender Male Marital Status Married - with three sons Date and place of birth November 14, 1960 Heidelberg, South Africa Nationality

More information

TITLE: Shakespeare: The technical words. DATE(S): Project will run for four weeks during June or July

TITLE: Shakespeare: The technical words. DATE(S): Project will run for four weeks during June or July PROJECT: CulpeperSprint1 TITLE: Shakespeare: The technical words SUPERVISOR(S): Prof. Jonathan Culpeper DATE(S): Project will run for four weeks during June or July JOB DESCRIPTION: This project focuses

More information

Forget catastrophic forgetting: AI that learns after deployment

Forget catastrophic forgetting: AI that learns after deployment Forget catastrophic forgetting: AI that learns after deployment Anatoly Gorshechnikov CTO, Neurala 1 Neurala at a glance Programming neural networks on GPUs since circa 2 B.C. Founded in 2006 expecting

More information

E-Teaching Materials as the Means to Improve Humanities Teaching Proficiency in the Context of Education Informatization

E-Teaching Materials as the Means to Improve Humanities Teaching Proficiency in the Context of Education Informatization International Journal of Environmental & Science Education, 2016, 11(4), 433-442 E-Teaching Materials as the Means to Improve Humanities Teaching Proficiency in the Context of Education Informatization

More information

The SWARM-BOTS Project

The SWARM-BOTS Project The SWARM-BOTS Project Marco Dorigo 1, Elio Tuci 1,RoderichGroß 1, Vito Trianni 1, Thomas Halva Labella 1, Shervin Nouyan 1,ChristosAmpatzis 1, Jean-Louis Deneubourg 2, Gianluca Baldassarre 3,StefanoNolfi

More information

2017 Florence, Italty Conference Abstract

2017 Florence, Italty Conference Abstract 2017 Florence, Italty Conference Abstract Florence, Italy October 23-25, 2017 Venue: NILHOTEL ADD: via Eugenio Barsanti 27 a/b - 50127 Florence, Italy PHONE: (+39) 055 795540 FAX: (+39) 055 79554801 EMAIL:

More information

COMPUTER-AIDED DESIGN TOOLS THAT ADAPT

COMPUTER-AIDED DESIGN TOOLS THAT ADAPT COMPUTER-AIDED DESIGN TOOLS THAT ADAPT WEI PENG CSIRO ICT Centre, Australia and JOHN S GERO Krasnow Institute for Advanced Study, USA 1. Introduction Abstract. This paper describes an approach that enables

More information

Course Outline. Course Grading. Where to go for help. Academic Integrity. EE-589 Introduction to Neural Networks NN 1 EE

Course Outline. Course Grading. Where to go for help. Academic Integrity. EE-589 Introduction to Neural Networks NN 1 EE EE-589 Introduction to Neural Assistant Prof. Dr. Turgay IBRIKCI Room # 305 (322) 338 6868 / 139 Wensdays 9:00-12:00 Course Outline The course is divided in two parts: theory and practice. 1. Theory covers

More information

KEYNOTE SPEAKER. Introduce some Fearless Leadership into your next event. corrinnearmour.com 1

KEYNOTE SPEAKER. Introduce some Fearless Leadership into your next event. corrinnearmour.com 1 KEYNOTE SPEAKER Introduce some Fearless Leadership into your next event corrinnearmour.com 1 Corrinne Armour Waging a war on wasted potential, Corrinne s mission is to spark people to play their big game.

More information

Beyond Flatland in primary school mathematics education in the Netherlands

Beyond Flatland in primary school mathematics education in the Netherlands FI US University of Colorado Boulder Beyond Flatland in primary school mathematics education in the Netherlands Marja van den Heuvel-Panhuizen Freudenthal Faculty of Social and Behavioural Sciences Freudenthal

More information

Department of Sociology and Social Research

Department of Sociology and Social Research Department of Sociology and Social Research International programmes www.sociologia.unitn.it/en The Department of Sociology and Social Research The Department of Sociology and Social Research develops

More information

Quantitative Evaluation of an Intuitive Teaching Method for Industrial Robot Using a Force / Moment Direction Sensor

Quantitative Evaluation of an Intuitive Teaching Method for Industrial Robot Using a Force / Moment Direction Sensor International Journal of Control, Automation, and Systems Vol. 1, No. 3, September 2003 395 Quantitative Evaluation of an Intuitive Teaching Method for Industrial Robot Using a Force / Moment Direction

More information

Evolving Spiking Networks with Variable Resistive Memories

Evolving Spiking Networks with Variable Resistive Memories Evolving Spiking Networks with Variable Resistive Memories Gerard Howard david4.howard@uwe.ac.uk Department of Computer Science, University of the West of England, Bristol, BS16 1QY, UK Larry Bull larry.bull@uwe.ac.uk

More information

EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10. Instructor: Kang G. Shin, 4605 CSE, ;

EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10. Instructor: Kang G. Shin, 4605 CSE, ; EECS 571 PRINCIPLES OF REAL-TIME COMPUTING Fall 10 Instructor: Kang G. Shin, 4605 CSE, 763-0391; kgshin@umich.edu Number of credit hours: 4 Class meeting time and room: Regular classes: MW 10:30am noon

More information

Historical maintenance relevant information roadmap for a self-learning maintenance prediction procedural approach

Historical maintenance relevant information roadmap for a self-learning maintenance prediction procedural approach IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Historical maintenance relevant information roadmap for a self-learning maintenance prediction procedural approach To cite this

More information

Agent-Based Software Engineering

Agent-Based Software Engineering Agent-Based Software Engineering Learning Guide Information for Students 1. Description Grade Module Máster Universitario en Ingeniería de Software - European Master on Software Engineering Advanced Software

More information

Syntax Parsing 1. Grammars and parsing 2. Top-down and bottom-up parsing 3. Chart parsers 4. Bottom-up chart parsing 5. The Earley Algorithm

Syntax Parsing 1. Grammars and parsing 2. Top-down and bottom-up parsing 3. Chart parsers 4. Bottom-up chart parsing 5. The Earley Algorithm Syntax Parsing 1. Grammars and parsing 2. Top-down and bottom-up parsing 3. Chart parsers 4. Bottom-up chart parsing 5. The Earley Algorithm syntax: from the Greek syntaxis, meaning setting out together

More information

Breakthrough Russian (Breakthrough Language Courses) [Paperback] By Halya Coynash

Breakthrough Russian (Breakthrough Language Courses) [Paperback] By Halya Coynash Breakthrough Russian (Breakthrough Language Courses) [Paperback] By Halya Coynash If searched for a ebook by Halya Coynash Breakthrough Russian (Breakthrough Language Courses) [Paperback] in pdf form,

More information

Mining Association Rules in Student s Assessment Data

Mining Association Rules in Student s Assessment Data www.ijcsi.org 211 Mining Association Rules in Student s Assessment Data Dr. Varun Kumar 1, Anupama Chadha 2 1 Department of Computer Science and Engineering, MVN University Palwal, Haryana, India 2 Anupama

More information

Blended Learning using GCAR-EAD Environment: Experiences and Application Results

Blended Learning using GCAR-EAD Environment: Experiences and Application Results Blended Learning using GCAR-EAD Environment: Experiences and Application Results Frederico M. Schaf, Carlos E. Pereira, Renato V. B. Henriques Universidade Federal do Rio Grande do Sul, Porto Alegre, RS

More information

Summary results (year 1-3)

Summary results (year 1-3) Summary results (year 1-3) Evaluation and accountability are key issues in ensuring quality provision for all (Eurydice, 2004). In Europe, the dominant arrangement for educational accountability is school

More information

Acquiring Competence from Performance Data

Acquiring Competence from Performance Data Acquiring Competence from Performance Data Online learnability of OT and HG with simulated annealing Tamás Biró ACLC, University of Amsterdam (UvA) Computational Linguistics in the Netherlands, February

More information

Continual Curiosity-Driven Skill Acquisition from High-Dimensional Video Inputs for Humanoid Robots

Continual Curiosity-Driven Skill Acquisition from High-Dimensional Video Inputs for Humanoid Robots Continual Curiosity-Driven Skill Acquisition from High-Dimensional Video Inputs for Humanoid Robots Varun Raj Kompella, Marijn Stollenga, Matthew Luciw, Juergen Schmidhuber The Swiss AI Lab IDSIA, USI

More information

AC : DESIGNING AN UNDERGRADUATE ROBOTICS ENGINEERING CURRICULUM: UNIFIED ROBOTICS I AND II

AC : DESIGNING AN UNDERGRADUATE ROBOTICS ENGINEERING CURRICULUM: UNIFIED ROBOTICS I AND II AC 2009-1161: DESIGNING AN UNDERGRADUATE ROBOTICS ENGINEERING CURRICULUM: UNIFIED ROBOTICS I AND II Michael Ciaraldi, Worcester Polytechnic Institute Eben Cobb, Worcester Polytechnic Institute Fred Looft,

More information

Test Effort Estimation Using Neural Network

Test Effort Estimation Using Neural Network J. Software Engineering & Applications, 2010, 3: 331-340 doi:10.4236/jsea.2010.34038 Published Online April 2010 (http://www.scirp.org/journal/jsea) 331 Chintala Abhishek*, Veginati Pavan Kumar, Harish

More information

MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE

MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE Master of Science (M.S.) Major in Computer Science 1 MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE Major Program The programs in computer science are designed to prepare students for doctoral research,

More information

FONDAMENTI DI INFORMATICA

FONDAMENTI DI INFORMATICA FONDAMENTI DI INFORMATICA INTRODUZIONE AL CORSO E ALL INFORMATICA Prof. Emiliano Casalicchio 09/26/14 Computer Skills - Lesson 1 - E. Casalicchio 2 Info INGEGNERIA ENERGETICA, EDILIZIA E MECCANICA Canale

More information

PROCEEDINGS OF SPIE. Double degree master program: Optical Design

PROCEEDINGS OF SPIE. Double degree master program: Optical Design PROCEEDINGS OF SPIE SPIEDigitalLibrary.org/conference-proceedings-of-spie Double degree master program: Optical Design Alexey Bakholdin, Malgorzata Kujawinska, Irina Livshits, Adam Styk, Anna Voznesenskaya,

More information

THE USE OF TINTED LENSES AND COLORED OVERLAYS FOR THE TREATMENT OF DYSLEXIA AND OTHER RELATED READING AND LEARNING DISORDERS

THE USE OF TINTED LENSES AND COLORED OVERLAYS FOR THE TREATMENT OF DYSLEXIA AND OTHER RELATED READING AND LEARNING DISORDERS FC-B204-040 THE USE OF TINTED LENSES AND COLORED OVERLAYS FOR THE TREATMENT OF DYSLEXIA AND OTHER RELATED READING AND LEARNING DISORDERS Over the past two decades the use of tinted lenses and colored overlays

More information

CS 598 Natural Language Processing

CS 598 Natural Language Processing CS 598 Natural Language Processing Natural language is everywhere Natural language is everywhere Natural language is everywhere Natural language is everywhere!"#$%&'&()*+,-./012 34*5665756638/9:;< =>?@ABCDEFGHIJ5KL@

More information

Reinforcement Learning by Comparing Immediate Reward

Reinforcement Learning by Comparing Immediate Reward Reinforcement Learning by Comparing Immediate Reward Punit Pandey DeepshikhaPandey Dr. Shishir Kumar Abstract This paper introduces an approach to Reinforcement Learning Algorithm by comparing their immediate

More information

Developing Language Teacher Autonomy through Action Research

Developing Language Teacher Autonomy through Action Research Developing Language Teacher Autonomy through Action Research Helping teachers engage autonomously in action research is a very worthwhile enterprise. Beneficiaries are likely to include learners, schools

More information

From Empire to Twenty-First Century Britain: Economic and Political Development of Great Britain in the 19th and 20th Centuries 5HD391

From Empire to Twenty-First Century Britain: Economic and Political Development of Great Britain in the 19th and 20th Centuries 5HD391 Provisional list of courses for Exchange students Fall semester 2017: University of Economics, Prague Courses stated below are offered by particular departments and faculties at the University of Economics,

More information

CWIS 23,3. Nikolaos Avouris Human Computer Interaction Group, University of Patras, Patras, Greece

CWIS 23,3. Nikolaos Avouris Human Computer Interaction Group, University of Patras, Patras, Greece The current issue and full text archive of this journal is available at wwwemeraldinsightcom/1065-0741htm CWIS 138 Synchronous support and monitoring in web-based educational systems Christos Fidas, Vasilios

More information

P. Belsis, C. Sgouropoulou, K. Sfikas, G. Pantziou, C. Skourlas, J. Varnas

P. Belsis, C. Sgouropoulou, K. Sfikas, G. Pantziou, C. Skourlas, J. Varnas Exploiting Distance Learning Methods and Multimediaenhanced instructional content to support IT Curricula in Greek Technological Educational Institutes P. Belsis, C. Sgouropoulou, K. Sfikas, G. Pantziou,

More information

Speech Emotion Recognition Using Support Vector Machine

Speech Emotion Recognition Using Support Vector Machine Speech Emotion Recognition Using Support Vector Machine Yixiong Pan, Peipei Shen and Liping Shen Department of Computer Technology Shanghai JiaoTong University, Shanghai, China panyixiong@sjtu.edu.cn,

More information

Internal Double Degree. Management Engineering and Product-Service System Design

Internal Double Degree. Management Engineering and Product-Service System Design Internal Double Degree (Intake 2017/18) Management Engineering and Product-Service System Design Contents 1. Enrolment 2.1 Entry requirements 2.2 Articulation of the selection process and general criteria

More information

arxiv: v2 [cs.ro] 3 Mar 2017

arxiv: v2 [cs.ro] 3 Mar 2017 Learning Feedback Terms for Reactive Planning and Control Akshara Rai 2,3,, Giovanni Sutanto 1,2,, Stefan Schaal 1,2 and Franziska Meier 1,2 arxiv:1610.03557v2 [cs.ro] 3 Mar 2017 Abstract With the advancement

More information

SAM - Sensors, Actuators and Microcontrollers in Mobile Robots

SAM - Sensors, Actuators and Microcontrollers in Mobile Robots Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2017 230 - ETSETB - Barcelona School of Telecommunications Engineering 710 - EEL - Department of Electronic Engineering BACHELOR'S

More information

Computers Change the World

Computers Change the World Computers Change the World Computing is Changing the World Activity 1.1.1 Computing Is Changing the World Students pick a grand challenge and consider how mobile computing, the Internet, Big Data, and

More information

Using a PLC+Flowchart Programming to Engage STEM Interest

Using a PLC+Flowchart Programming to Engage STEM Interest Paper ID #16793 Using a PLC+Flowchart Programming to Engage STEM Interest Prof. Alka R Harriger, Purdue University, West Lafayette Alka Harriger joined the faculty of the Computer and Information Technology

More information

While you are waiting... socrative.com, room number SIMLANG2016

While you are waiting... socrative.com, room number SIMLANG2016 While you are waiting... socrative.com, room number SIMLANG2016 Simulating Language Lecture 4: When will optimal signalling evolve? Simon Kirby simon@ling.ed.ac.uk T H E U N I V E R S I T Y O H F R G E

More information

Reducing Features to Improve Bug Prediction

Reducing Features to Improve Bug Prediction Reducing Features to Improve Bug Prediction Shivkumar Shivaji, E. James Whitehead, Jr., Ram Akella University of California Santa Cruz {shiv,ejw,ram}@soe.ucsc.edu Sunghun Kim Hong Kong University of Science

More information

Education: Integrating Parallel and Distributed Computing in Computer Science Curricula

Education: Integrating Parallel and Distributed Computing in Computer Science Curricula IEEE DISTRIBUTED SYSTEMS ONLINE 1541-4922 2006 Published by the IEEE Computer Society Vol. 7, No. 2; February 2006 Education: Integrating Parallel and Distributed Computing in Computer Science Curricula

More information

On Human Computer Interaction, HCI. Dr. Saif al Zahir Electrical and Computer Engineering Department UBC

On Human Computer Interaction, HCI. Dr. Saif al Zahir Electrical and Computer Engineering Department UBC On Human Computer Interaction, HCI Dr. Saif al Zahir Electrical and Computer Engineering Department UBC Human Computer Interaction HCI HCI is the study of people, computer technology, and the ways these

More information

Lecture 1: Basic Concepts of Machine Learning

Lecture 1: Basic Concepts of Machine Learning Lecture 1: Basic Concepts of Machine Learning Cognitive Systems - Machine Learning Ute Schmid (lecture) Johannes Rabold (practice) Based on slides prepared March 2005 by Maximilian Röglinger, updated 2010

More information

Measurability and Reproducibility in University Timetabling Research: Discussion and Proposals

Measurability and Reproducibility in University Timetabling Research: Discussion and Proposals Measurability and Reproducibility in University Timetabling Research: Discussion and Proposals Andrea Schaerf and Luca Di Gaspero Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica Università

More information

International Partnerships in Teacher Education: Experiences from a Comenius 2.1 Project

International Partnerships in Teacher Education: Experiences from a Comenius 2.1 Project International Partnerships in : Experiences from a Comenius 2.1 Project Per Sivertsen, Bodoe University College, Norway per.sivertsen@hibo.no Abstract Student mobility has had a central place in the Comenius

More information

A Pipelined Approach for Iterative Software Process Model

A Pipelined Approach for Iterative Software Process Model A Pipelined Approach for Iterative Software Process Model Ms.Prasanthi E R, Ms.Aparna Rathi, Ms.Vardhani J P, Mr.Vivek Krishna Electronics and Radar Development Establishment C V Raman Nagar, Bangalore-560093,

More information

Research computing Results

Research computing Results About Online Surveys Support Contact Us Online Surveys Develop, launch and analyse Web-based surveys My Surveys Create Survey My Details Account Details Account Users You are here: Research computing Results

More information

International Winter School on Event and Destination Management

International Winter School on Event and Destination Management International Winter School on Event and Destination Management For Bachelor s and Master s Students, 29.01. 09.02.2018 at the University of Economics, Prague (VSE), Czech Republic and the Lucerne School

More information

Strategy for teaching communication skills in dentistry

Strategy for teaching communication skills in dentistry Strategy for teaching communication in dentistry SADJ July 2010, Vol 65 No 6 p260 - p265 Prof. JG White: Head: Department of Dental Management Sciences, School of Dentistry, University of Pretoria, E-mail:

More information

PROCEEDINGS OF SPIE. Joint International Physics Summer School: Optics. Maria Bondani, Alessia Allevi, Jan Soubusta, Ondřej Haderka

PROCEEDINGS OF SPIE. Joint International Physics Summer School: Optics. Maria Bondani, Alessia Allevi, Jan Soubusta, Ondřej Haderka PROCEEDINGS OF SPIE SPIEDigitalLibrary.org/conference-proceedings-of-spie Joint International Physics Summer School: Optics Maria Bondani, Alessia Allevi, Jan Soubusta, Ondřej Haderka Maria Bondani, Alessia

More information

Simulated Architecture and Programming Model for Social Proxy in Second Life

Simulated Architecture and Programming Model for Social Proxy in Second Life Simulated Architecture and Programming Model for Social Proxy in Second Life Cintia Caetano, Micheli Knechtel, Roger Resmini, Ana Cristina Garcia, Anselmo Montenegro Department of Computing, Fluminense

More information

AGENDA LEARNING THEORIES LEARNING THEORIES. Advanced Learning Theories 2/22/2016

AGENDA LEARNING THEORIES LEARNING THEORIES. Advanced Learning Theories 2/22/2016 AGENDA Advanced Learning Theories Alejandra J. Magana, Ph.D. admagana@purdue.edu Introduction to Learning Theories Role of Learning Theories and Frameworks Learning Design Research Design Dual Coding Theory

More information

Lecture 10: Reinforcement Learning

Lecture 10: Reinforcement Learning Lecture 1: Reinforcement Learning Cognitive Systems II - Machine Learning SS 25 Part III: Learning Programs and Strategies Q Learning, Dynamic Programming Lecture 1: Reinforcement Learning p. Motivation

More information

No Parent Left Behind

No Parent Left Behind No Parent Left Behind Navigating the Special Education Universe SUSAN M. BREFACH, Ed.D. Page i Introduction How To Know If This Book Is For You Parents have become so convinced that educators know what

More information

Word Segmentation of Off-line Handwritten Documents

Word Segmentation of Off-line Handwritten Documents Word Segmentation of Off-line Handwritten Documents Chen Huang and Sargur N. Srihari {chuang5, srihari}@cedar.buffalo.edu Center of Excellence for Document Analysis and Recognition (CEDAR), Department

More information

Breaking the Habit of Being Yourself Workshop for Quantum University

Breaking the Habit of Being Yourself Workshop for Quantum University Breaking the Habit of Being Yourself Workshop for Quantum University 2 Copyright Dr Joe Dispenza. June 2013. All rights reserved. 3 Copyright Dr Joe Dispenza. June 2013. All rights reserved. 4 Copyright

More information

Evaluation of Usage Patterns for Web-based Educational Systems using Web Mining

Evaluation of Usage Patterns for Web-based Educational Systems using Web Mining Evaluation of Usage Patterns for Web-based Educational Systems using Web Mining Dave Donnellan, School of Computer Applications Dublin City University Dublin 9 Ireland daviddonnellan@eircom.net Claus Pahl

More information

Evaluation of Usage Patterns for Web-based Educational Systems using Web Mining

Evaluation of Usage Patterns for Web-based Educational Systems using Web Mining Evaluation of Usage Patterns for Web-based Educational Systems using Web Mining Dave Donnellan, School of Computer Applications Dublin City University Dublin 9 Ireland daviddonnellan@eircom.net Claus Pahl

More information

UCEAS: User-centred Evaluations of Adaptive Systems

UCEAS: User-centred Evaluations of Adaptive Systems UCEAS: User-centred Evaluations of Adaptive Systems Catherine Mulwa, Séamus Lawless, Mary Sharp, Vincent Wade Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College,

More information

Malicious User Suppression for Cooperative Spectrum Sensing in Cognitive Radio Networks using Dixon s Outlier Detection Method

Malicious User Suppression for Cooperative Spectrum Sensing in Cognitive Radio Networks using Dixon s Outlier Detection Method Malicious User Suppression for Cooperative Spectrum Sensing in Cognitive Radio Networks using Dixon s Outlier Detection Method Sanket S. Kalamkar and Adrish Banerjee Department of Electrical Engineering

More information