Intelligent Systems: Reasoning and Recognition

Master of Science in Informatics at Grenoble - Master 1 Year 1

ENSIMAG - 2
Grenoble Insititut National Polytechniques

Academic Year 2012 - 2013

James L. Crowley

Wednesdays 8h15 - 9h45 in Amphi E
Fridays 8h15 - 9h45 in Amphi E

http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2012/ENSI2.SIRR/ENSI2.SIRR.html

Class notes (pdf)

06 February 2013 Lesson rescheduled (illness)
08 February 2013 Lesson 1 Intelligence, Knowledge, Reasoning and Recognition

13 February 2013 Lesson 2 Introduction to Expert Systems, The MYCIN system
15 February 2013 Lesson 3 Planning as Search: Blocks World

20 February 2013 Lesson 4 Planning as Search: The GRAPHSEARCH algorithm (A*)
22 February 2013 Lesson 5 Rule Based Systems, Introduction to CLIPS
22 February 2013 Exercise 1 Problem solving with A*

27 February 2013 Winter Vacation (Mardi Gras)
01 March 2013 Winter Vacation (Mardi Gras)

06 March 2013 Lesson 6 Rule Based Systems,  Rules in CLIPS
06 March 2013 Exercise 2: GRAPHSEARCH in CLIPS,  Data for exercise
08 March 2013 Lesson 7 Rule Based Systems: Rules, Constraints, Actions

13 March 2013  Lesson 8  Control of Reasoning and Decision Trees, Clips rules to guess the animal
15 March 2013  Lesson 9  Temporal Reasoning: Allen's Temporal Logic, Table of Temporal Relations
15 March 2013  Exercise 3 - Temporal Reasoning Rules in CLIPS, Clips Code for Exercise 3

20 March 2013 Lesson 10 Structured knowledge Representation with Objects in CLIPS
20 March 2013 Exercise 4  Family relations in CLIPS, Material for Exercise 4
22 march 2013 Lesson 11  Structured Knowledge Representation and Schema Systems 

27 March 2013 No Class
29 March 2013 Lesson 12 Introduction to Bayesian Recognition

03 April 2013 Lesson 13 Bayesian Recognition and Reasoning
03 April 2013 Exercise 5  Bayesian Reasoning as Evidence Accumulation
05 April 2013 Lesson 14 Non-parametric Methods for Classification

08 April 2013 Lesson 15 (optional tutorial) Normal Probability Density Functions
10 April 2013  Lesson 16  Gaussian Mixture Models (GMM), Expectation Maximisation (EM)
12 April 2013  Lesson 17  Discriminant Functions

17 April 2013 Lesson 18  Linear Discriminant Functions
17 April 2013  Exercise 6  Supervised and unsupervised learning
19 April 2013 Lesson 19  Linear Classifiers and Boosted Learning

22 April 2013   Spring Vacation (Easter)
26 April 2013   Spring Vacation (Easter)

01 May 2013 No Class French Holiday
03 May 2013 Lesson 20  Kernel Methods and Support Vector Machines

08 May 2013  No Class - French Holiday
10 May 2013  No Class - French Holiday

15 May 2013   Practice Exam
17 May 2013   Answers to Practice Exam

27 May 2013  Final Exam.

 


Exams from the Past (Les Annals)

The exam of  May 2008 : In English, in French
The exam of  May 2009 : In English, in French
The exam of  May 2010 :  English Version, Version Francaise, Resultats

Files of Examples (text)

Lesson 6 Facts and Rules
Lesson 7 RETE and the l'Agenda
Lesson 8  learning to play 20 questions in CLIPS
Lesson 10 Objets in CLIPS
Lesson 11 Structured Knowledge Representation

CLIPS Manuals (.pdf et .doc)

Basic Reference Manual .pdf, .doc
Advanced Reference Manual .pdf, .doc
Users Manual .pdf, .doc
Interfaces Manual .pdf, .doc

CLIPS Web Sites

CLIPS download Web Site
JESS: CLIPS in JAVA

Jeff Bilmes, A Gentle Tutorial of the EM Algorithm




URL: http://www-prima.imag.fr/Prima/Homepages/jlc/Courses/2012/ENSI2.SE/ENSI2.SIRR.html
NB : Ces fichiers peuvent etre copié, reproduit et et inclus dans autre texte, sous condition d'inclure une citation :
Crowley, J. L. , "Notes du cours ENSIMAG 2, Programmation des Systèmes Experts",  janvier - May 2013

Crée par James L. Crowley. Last update 21 May 2013