Intelligent Systems:
Reasoning and
Recognition
Wednesdays 11h15 - 12h45 in Amphi D ENSIMAG
Fridays 8h15 - 9h45 in Amphi D ENSIMAG
Verify Lecture Locations in ADE of ENSIMAG
and in the ADE of UFRIMAG
http://www-prima.inrialpes.fr/Prima/Homepages/jlc/Courses/2016/ENSI2.SIRR/ENSI2.SIRR.html
Class notes (pdf)
01 February 2017 Lesson 1 Intelligence,
Knowledge, Reasoning and Recognition
03 February 2017 Lesson 2 Recognition, Supervised Learning and Performance Evaluation (Amphi C006)
03 February 2017 Exercise 1 ROC Curves
08 February 2017 Lesson 3 Perceptrons and Support Vector Machines
10 February 2017 Lesson 4 Support Vector Machines using Kernels
10 February 2017 Exercise 2 Support Vector Machines with Radial Basis Functions
15 February 2017 Lesson 5 Regression, Gradient Descent and Artificial Neural Networks
17 February 2017 Lesson 6 Artificial Neural Networks and Back-Propagation
17 February 2017 Exercise 3 Artificial Neural Networks
22 February 2017 Winter Vacation (Mardi Gras)
24 February 2017 Winter Vacation (Mardi Gras)
01 March 2017 Lesson 7 Convolutional Neural Networks and Auto-encoders
03 March 2017 Lesson 8 Generative Techniques: Bayes Rule and the Axioms of Probability
03 March 2017 Exercise 4 Bayes Rule
08 March 2017 no class
10 March 2017 Lesson 9 Probability Models for Bayesian Recognition
10 March 2017 Exercise 5 Classification with non-parametric models
15 March 2017 Lesson 10 Recognition
with the Normal Density Function
17 March 2017 Lesson 11 Clustering
and Non-Supervised Learning with K-Means and EM
17 March 2017 Exercise 6 Data Analysis with EM
22 March 2017 Lesson 12: Symbolic Reasoning, Expert Systems and MYCIN
24 March 2017 Lesson 13: Reasoning with Bayesian Networks
24 March 2017 Exercise 7: Bayesian Networks
28 March 2017 Lesson 14 Rule
Based Reasoning
31 March 2017 Lesson 15 Rule based programming in CLIPS and the Rete Algorithm
31 March 2017 Exercise 8 Counting Word N-Grams in text with Clips,
31 March 2017 Exercise 8 CLIPS support functions, spam.txt, business-letter.txt, alpine-plants.txt
05 April 2017 Lesson 16 Temporal
Reasoning with Interval Relations,
Table of Interval Relations
07 April 2017 Lesson 17 Structured Knowledge Representations in CLIPS
07 April 2017 Exercise 9 Temporal Reasoning with CLIPS, Support file for exercise (table, functions)
12 April 2017 Lesson 18 Structured Knowledge Representations: Fames, Scripts and Situation Models
14 April 2017 Lesson 19 Problem Solving, Planning as Search
14 April 2017 Exercise 10 Plannning as Search
19 April 2017 Spring Vacation (Easter)
21 April 2017 Spring Vacation (Easter)
26 April 2017 Lesson 20 Decision trees and random forests
28 April 2017 Lesson 21 Practice Exam, Look-Up Table for Sigmoid, Table of Interval Relations
28 April 2017 Answers to questions on Practice Exam will be presented in the final lecture.
09 May 2017 Final Exam
Exams from the Past (Les
Annals)
The exam of May 2015
The exam of May 2014
The exam of May 2013
Coding Examples (text)
Examples from Lesson 14
Examples from Lesson 15
Examples from Lesson 17
CLIPS Manuals (.pdf et .doc)
Basic Reference Manual .pdf
Advanced Reference Manual .pdf
Users Manual
.pdf
Interfaces Manual
.pdf
CLIPS 6.3 Mac OS Installer
Mac OS installer
package
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/2016/ENSI2.SE/ENSI2.SIRR.html
NB : These flles may be copied and distributed on the condition that they include the citation:
James
L.
Crowley, Course notes, "Intelligent Systems: Recognition and
Reasoning", Grenoble Institut Polytechnique, January - May 2017
Created by James L.
Crowley. Last update 5 April 2017