Page type: course

CS 760 - Machine Learning; CS 760 - Machine Learning (Spring 1996); General Course Information; Instructor:;Jude Shavlik; 6357 CS & Stats;shavlik@cs.wisc.edu; Office Hrs: Monday/Wednesday 2-3pm; Teaching Assistant:;Geoff Weinberg; 94 Highway Labs (basement of the CAE building);geoffrey@cs.wisc.edu; Office Hrs: Monday 2:30 - 3:30pm, Wednesday 3:00 - 4:00pm; Office Phone: 262-5139, Home Home: 231-0950;;; Course Overview (postscript);; Course Syllabus (postscript);; Archive of Class Email (only readable if @cs.wisc.edu);; Suggested Class Projects (postscript); 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); Homeworks - Spring 1995 (most of these will migrate up as the semester progresses);;; Homework 1 - Inducing Decision Trees (ID3);; Homework 2 - Heuristically Searching Concept Space (AQ);; Homework 3 - Training Neural Networks (BP);; Homework 4 - Learning from Reinforcements (Q-Learning and GA's);; Homework 2 - Version Space (1992, postscript);; Homework 4 - Explanation-Based Learning (1993, postscript);; Homework 5 - Cobweb (1992, postscript);; Previous Exams (postscript); Spring 1996 |; Spring 1995 |; Spring 1994 |; Spring 1993; Spring 1992 |; Spring 1990 |; Spring 1989 |; Spring 1988; <IneedAgoodICON> Some ML-Related Links;; Machine Learning journal; (the on-line page);; NIPS-95 papers (the premier neural net conference);; Recent Table of Contents and Abstracts of Selected Journals; (mostly from Wendt Library; readable only if @cs.wisc.edu);; The UC-Irvine ML Dataset Archive;; Pointers to ML Courses;; Knowledge Discovery in Databases;; Neural Network Resources;; Some ILP Stuff;; Machine Learning Benchmarking;; IEEE Neural Networks Council (several journals connected to this page);; International Society for Adaptive Behavior;; AI Bibliography Server (Austrian AI Institute);; Neural Networks Bibliography Server (Austrian AI Institute);; AI Resources (Canadian NRC Server);; Aha's Links to People in ML;; More External AI References; Help with Programming Assignments;(from CS 540's page);; Using AKCL Common Lisp on Departmental Workstations;; Some Tips on Using Vi and Emacs for Lisp-code Writing;; Frequently Asked Questions about Lisp and the Course Computers;; Some Tips on Using the AKCL Debugger;; Some Help for Lisp Novices;; Lisp FAQ's (frequently asked questions);; Steele's Common Lisp: The Language (2nd Edition); (This is a reference manual and not a textbook.);; About Printing and Printers |;; How to Print WWW Pages; Related Local Links;; U-Wisc ML Group;; U-Wisc ML & Math-Programming Group;; U-Wisc Comp Biology (includes some ML);; U-Wisc AI Group;; U-Wisc CS Dept;; U-Wisc Library;; More local links;Last modified: Mon Apr 29 14:08:09 1996 by Jude Shavlik;shavlik@cs.wisc.edu;