Intelligent Systems: Reasoning and Recognition

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

ENSIMAG - 2
Grenoble Insititut National Polytechniques

Academic Year 2013 - 2014

James L. Crowley

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

http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2013/ENSI2.SIRR/ENSI2.SIRR.html

Class notes (pdf)

05 February 2014 Lesson 1 Intelligence, Knowledge, Reasoning and Recognition
07 February 2014 Lesson 2 Introduction to Expert Systems, The MYCIN system

12 February 2014 Lesson 3 Planning as Search: Blocks World
14 February 2014 Lesson 4 Planning as Search: The GRAPHSEARCH algorithm (A*)

19 February 2014 Lesson 5 Rule Based Systems, Introduction to CLIPS
19 February 2014 Exercise 1 Problem solving with A*
21 February 2014  No Class - work on exercises

26 February 2014 Lesson 6 Rule Based Systems,  Rules in CLIPS
26 February 2014 Exercise 2 GRAPHSEARCH in CLIPS,  Data for exercise
28 February 2014  No Class - work on exercises

04 March 2014 Winter Vacation (Mardi Gras)
06 March 2014 Winter Vacation (Mardi Gras)

12 March 2014 Lesson 7 Rule Based Systems: Rules, Constraints, Actions
14 March 2014  Lesson 8  Control of Reasoning and Decision Trees, Clips rules to guess the animal

19 March 2014 Lesson 9  Temporal Reasoning: Allen's Temporal Logic, Table of Temporal Relations
19 March 2014  Exercise 3  Temporal Reasoning Rules in CLIPS, Clips Code for Exercise 3
21 march 2014  Lesson 10 Structured knowledge Representation with Objects in CLIPS
21March 2014 Exercise 4  Family relations in CLIPS, Material for Exercise 4.

26 March 2014 Lesson 11  Structured Knowledge Representation and Schema Systems
28 March 2014 Lesson 12 Introduction to Bayesian Recognition

02 April 2014 Lesson 13 Bayesian Reasoning and Recognition
02 April 2014 Exercise 5  Bayesian Reasoning as Evidence Accumulation
04 April 2014 Lesson 14 Non-parametric Methods for Classification

09 April 2014 Lesson 15 Normal Probability Density Functions
11 April 2014 no class - work on exercises

16 April 2014 Lesson 16  Gaussian Mixture Models (GMM), Expectation Maximisation (EM)
18 April 2014 Lesson 17  Discriminant Functions
18 April 2014  Exercise 6  Supervised and unsupervised learning

23 April 2014 Lesson 18  Linear Classifiers
25 April 2014 Lesson 19 Linear Classifiers as Pattern Detectors

30 April 2014 Spring Vacation (Easter)
02 May 2014 Spring Vacation (Easter)

07 May 2014   Lesson 19 Linear Detectors and Boosted Learning
09 May 2014   Solutions and Grades for Practice Exam.  Complete the practice exam BEFORE class.
09 May 2014   Bring your completed exam to class in order to have it corrected.


15 May 2014  9h00-12h00  H105  -  Final Exam -  All notes and texts authorized

 


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/2013/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 2014

Crée par James L. Crowley. Last update 4 Feb 2014