Date: Mon, 11 Nov 1996 02:51:58 GMT
Server: NCSA/1.5
Content-type: text/html
Last-modified: Mon, 29 Apr 1996 19:08:10 GMT
Content-length: 12276
CS 760 - Machine Learning
CS 760 - Machine Learning (Spring 1996)
General Course Information
Reading Assignments
- Assigned May 1, 1996:
- Read Chapter 7 (theory refinement) and Chapter 3 (computational learning theory)
of Mitchell's textbook;
feedback to author due May 15, 1996.
- Assigned April 24, 1996:
- Read `Learning Logical Definitions from Relations' by Quinlan (MLJ:5) and
`Knowledge-Based Artificial Neural Networks' by Towell & Shavlik (AIJ:70)
- Assigned April 22, 1996:
- Read `Chunking in Soar' by Laird, Rosenbloom, & Newell (MLJ:1) and
`Learning at the Knowledge Level' by Dietterich (MLJ:1)
- Assigned April 15, 1996:
- Read Chapter 10 (analytical learning) of Mitchell's textbook;
feedback to author due April 26, 1996.
- Assigned April 8, 1996:
- Read journal articles on `unsupervised learning'
by Fisher (MLJ:2), Rumelhart & Zipser (CogSci:9), and Lenat (AIJ:9).
- Assigned April 1, 1996:
- Read Chapter 8 (genetic algorithms) of Mitchell's textbook;
feedback to author due April 12, 1996.
- Assigned March 20, 1996:
- Read Chapter 13 (reinforcement learning) of Mitchell's textbook;
feedback to author due April 5, 1996.
- Assigned March 6, 1996:
- Read `Backpropagation: The Basic Theory' by Rumelhart et al.
- Assigned February 26, 1996:
- Read Chapter 5 (neural networks) of Mitchell's textbook;
feedback to author due March 8, 1996.
Also read the ML journal article by Shavlik, Mooney, and Towell that
empirically compares ID3 and backprop.
- Assigned February 12, 1996:
- Read Chapter 2 (concept space) of Mitchell's textbook;
feedback to author due February 23, 1996
- Assigned January 31, 1996:
- Read (1) `Machine Learning as an Experimental Science,'
Kibler & Langley, RML:1.1.3, (2) Chapter 4 and Sections 6.10 & 6.11 of
Empirical Methods for Artificial Intelligence, Cohen, MIT Press, 1995,
and (3) Learning Representative Exemplars of Concepts: An Initial Case Study,
Kibler & Aha, RML:2.2.4 (or the ML journal version of this article that's
in the DoIT packet, but under a different title: `Instance-Based Learning
Algorithms').
- Assigned January 24, 1996:
- Read Chapter 4 (decision trees) of Mitchell's textbook;
feedback to author due February 2, 1996
- Assigned January 22, 1996:
- Read Chapter 1 (introduction) of Mitchell's textbook;
feedback to author due January 29, 1996
BRR Assignments
- BRR #3: on the ML journal article by Towell & Shavlik on the KBANN algorithm.
Due Monday, May 6, 1996
- BRR #2: on the ML journal article by Fisher on the COBWEB algorithm.
Due Wednesday, April 17, 1996
- BRR #1: on the ML journal article by Shavlik, Mooney, & Towell that
empirically compares ID3 and backprop.
Due Wednesday, March 20, 1996
- Be sure to answer (on one sheet of paper):
- Best Idea and Why?
- What to do Next and How?
Do not summarize the assigned paper (one-sentence summary as a lead-in is ok);
instead analyze it.
- Late policy on BRRs: 50% off if handed in after material covered in lecture.
Homework Assignments
-
Homework 4: Learning from Reinforcements - Q-Learning
Due Wednesday, April 10, 1996
-
Homework 3: Training Neural Networks - BP
Due Monday, March 25, 1996
-
Homework 2: Experimental Methodology
Due Monday, February 26, 1996
-
Homework 1: Inducing Decision Trees - ID3
Due Monday, February 12, 1996
-
Homework 0: Creating Your Personal Concept
Due Monday, January 29, 1996
- Late policy on HWs:
- HWs are due at the start of class.
- Each student will have FIVE "free" late days for use
over the semester. Once these are exhausted, there will be
a penalty of 10% per day (measured noon-to-noon; weekends are free).
- To make the TA's job tractable, no HWs will be accepted more than
one week late.
Previously Used Homeworks (postscript)
Previous Exams (postscript)
<IneedAgoodICON> Some ML-Related Links
Help with Programming Assignments
(from CS 540's page)
Related Local Links
Last modified: Mon Apr 29 14:08:09 1996 by Jude Shavlik
shavlik@cs.wisc.edu