6.034 Artificial Intelligence, Fall 2004
 Recitations

Instructor:  Luis Ortiz
Email: leortiz [at] csail [dot] mit [dot] edu, Office: 32-G482, Phone: x3-3658

Friday
11
 24-307
Friday
1
 26-314
Friday
2
 26-314



Recitation
Topic
Handouts, etc.
 1
Rules Handout 1 (Zookeeper) , Handout 2 (Naive Bagger) , Problem 1 (Alarm) , Problem 1 Soln , Problem 2 (Robot) , Problem 2 Soln , Problem 2 Additional Notes , Additional Notes on Rule-Based Systems
 2
Search
Handout 1 (Notes) , Problem 1 (Basic Search) , Problem 1 Soln , Problem 2 (Six Degrees of Separation) , Problem 2 Soln , Problem 3 (Optimal Search) , Problem 3 Soln , Problem 4 (Robot) , Problem 4 Soln , Additional Notes
 3
Search in Games
Problem 1 , Problem 1 Soln , Additional Notes
 4
Constraints
Trains Problem , Trains Problem Soln , Old Quiz CSP Problem 1 w/ Soln , Modified Old Quiz CSP Problem 1 w/ Soln , Old Quiz CSP Problem 2 w/ Soln , Additional Notes
 5
Frames
Notes , Problems , Problem Solutions , Chapter on Thematic Role and Trajectory Frames from Prof. Winston's Book , Minsky's Paper on Frames , Borchardt's Paper on Transition Spaces
 6
Nearest Neighbors and Identification/Decision Trees
Notes , Some Slides on kNNs and ID/Decision Trees , Nearest Neighbor Problem Covered in Recitation (Drawing Decision Boundary) , Nearest Neighbor Problem Covered in Recitation (Drawing Decision Boundary) Soln , ID Tree Problem Partially Covered in Recitation , k-Nearest Neighbors Problem (from Prof. Winston's Book) with Solution , Nearest Neighbor and ID Tree Problem from 2000 Exam (Recitation Handout) , Nearest Neighbor and ID Tree Problem from 2000 Exam (Recitation Handout) Soln , Nearest Neighbor and ID Tree Problem from 2002 Exam , Nearest Neighbor and ID Tree Problem from 2002 Exam Soln , ID Tree Problem from 2001 Exam , ID Tree Problem from 2001 Exam Soln , Some Intoductory Slides on Machine Learning, including Decision Trees and Nearest Neighbors [Part I] [Part II] , kNN Java Applet Demo , ID Tree Java Applet Demo
 7
Neural Networks (NNs) and Support Vector Machines (SVMs)
NNs SVMs For additional reading material follow link for the Spring version of AI course (given in Useful Links below) and see Sections 11 and 12.
 8
Quiz 2 Review
 9
Boosting
Notes and Problems + Soln

Useful Links

Main Course Web Page
Prof. Robertt Berwick's Recitation Web Page
Instructor Sourabh Niyogi's Recitation Web Page
CIspace: A site with Java applets illustrating different AI techniques
Slides from spring version of AI course at MIT