Wednesdays 8h15 - 9h45 in Amphi E
Fridays 8h15 - 9h45 in Amphi E
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2011/ENSI2.SIRR/ENSI2.SIRR.html
Class notes (pdf)
01 February 2012 Lesson 1 Intelligence,
Knowledge, Reasoning and Recognition
01 February 2012 Lesson 2 Introduction
to
Expert Systems, The MYCIN system
08 February 2012 Lesson 3 Planning as
Search: Blocks World (revised 13
Feb)
10 February 2012 Lesson 4 Planning as
Search: The
GRAPHSEARCH algorithm (A*) (revised
13 Feb)
15 February 2012 Winter Vacation (Mardi Gras)
17 February 2012 Winter Vacation (Mardi Gras)
22 February 2012 Lesson 4 continued Planning as
Search: The
GRAPHSEARCH algorithm (A*) (revised
13 Feb)
24 February 2012 Lesson 5 Rule
Based
Systems, Introduction to CLIPS
24 February 2012 Exercise 1 Problem
solving with A*
29 February 2012 Lesson 6 Rule
Based Systems,
Rules in CLIPS
29 February 2012 Exercise 2: GRAPHSEARCH
in CLIPS, Data
for exercise
02 March 2012 Lesson 7 Rule
Based
Systems: Rules, Constraints, Actions
07 March 2012 Lesson 8 Control
of
Reasoning and Decision Trees, Clips
rules to guess the animal
09 March 2012 Lesson 9 Temporal
Reasoning, and Reasoning with
relations, Table of Temporal Relations
09 March 2012 Exercise
3 - Temporal
Reasoning Rules in
CLIPS, Material
for Exercise 3
14 March 2012 Lesson 10 Structured
knowledge Representation
with Objects in CLIPS
14 March 2012 Exercise 4 Family
relations
in CLIPS, Material for
Exercise 4.
16 march 2012 Lesson 11 Structured
Knowledge Representation and Schema Systems
(revised 16 march)
21 March 2012 Lesson 12 Introduction to
Bayesian Recognition
23 March 2012 Lesson 13 Bayesian
Probability
28 March 2012 Lesson 14 Non-paramatric
Methods for Classification
28 March 2012 Exercise 5 Methods for
Classification
30 March 2012 No Class
04 April 2012 Lesson 15 Expected
Values and Probability Density Functions
06 April 2012 Lesson 16 Gaussian
Density Functions
11 April 2012 Spring Vacation (Easter)
13 April 2012 Spring Vacation (Easter)
18 April 2012 Lesson 17 Discriminant
Functions
20 April 2012 Lesson 18 Gaussian
Mixture Models (GMM),
Expectation Maximisation (EM)
25 April 2012 Lesson 19 Linear
Classification Methods
20 April 2012 Exercise 6 Supervised
and unsupervised learning
27 April 2012 Lesson 20 Learning
Methods for Linear Detectors
02 May 2012 Lesson 21 Kernel
Methods and Support Vector Machines
04 May 2012 Lesson 22 No classe - Do the exams from earlier years
May 2012 9h00 - 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/2011/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 2012
Crée par James L.
Crowley. Last update 15 April 2012