Spring 2010: CS429/529: Introduction to Machine Learning
In this Section:
Introduction to Machine Learning
Spring, 2010
Lecture: Tues/Thurs, 12:30-1:45 PM
Mitchell Hall 211
Instructor: Terran Lane
Office hours:
FEC325Tues/Thurs 1:45-2:30 PM (after class)
Wed, noon-2:00 PM
or by appointment.
The syllabus is now available.
If you're taking this class, you should probably subscribe to the ml-class mail list.
News:
- Apr 22, 2010 The schedule for the final project presentations is now available online. If you haven't yet signed up for a time, better do so ASAP!
- Apr 22, 2010 The suggested reading material for the
section on reinforcement learning is:
Kaelbling, L. P., Littman, M. L., and Moore, A. W., "Reinforcement Learning: A Survey." Journal of Artificial Intelligence Research, 4, pp 237-277. 1996. doi: 10.1613/jair.301.
The Kaelbling et al. paper is probably better scope for our purposes, and my presentation is closer to its development of the subject, though the Sutton & Barto text is more thorough and slightly newer.Sutton, R. S. and Barto, A. G., Reinforcement Learning: An Introduction. MIT Press, 1998. http://webdocs.cs.ualberta.ca/~sutton/book/the-book.html
- Apr 13, 2010 The Homework 4 is now available. Due Thurs, Apr 22, 2010.
- Apr 6, 2010 The final project spec for the 429 section of the class is available.
- Mar 25, 2010 R6 is:
Austerweil, J. and Griffiths, T. L., "Analyzing human feature learning as nonparametric Bayesian inference." Advances in Neural Information Processing Systems 21 (NIPS 2008). Dec, 2008. url: http://books.nips.cc/papers/files/nips21/NIPS2008_0841.pdf
Due: Thurs, Apr 1, 2010. - Mar 24, 2010 The final project/project proposal guidelines are now available.
- Mar 1, 2010: Homework 3. Due: Mar 9, 2010.
- Mar 1, 2010: R5 is:
Tagkopoulos, I., Liu, Y.C., and Tavazoie, S., "Predictive Behavior Within Microbial Genetic Networks." Science 320(5881), pp 1313-1317. 2008. doi: 10.1126/science.1154456.
Due Thurs, Mar 4, 2010. - Feb 22, 2010: Class canceled this Tuesday: No class on Tuesday, Feb 23, 2010. See you on Thursday!
- Feb 9, 2010: R3 is:
Caruana, R., "Multitask Learning". Machine Learning 28(1), 1997. pp 41--75. doi: 10.1023/A:1007379606734.
Due Tues, Feb 16. - Feb 9, 2010: Homework 2. Due: Feb 18, 2010.
- Jan 30, 2010: The second reading (R2) is:
King, et al., "The Automation of Science." Science 324(5923), April 2009. pp 85-89. doi: 10.1126/science.1165620.
Due Tues, Feb 9.Note that this paper is not (yet) freely available, but you should be able to access it from an on-campus computer or through a UNM libraries account.
- The first reading is:
Samuel, A. L. "Some Studies in Machine Learning Using the Game of Checkers." IBM Journal of Research and Development, 3(3) 1959. pp 211-229.
I know that not everybody got a copy of it. Sorry about that. I don't know of a (free) source for this paper on the web -- if anybody knows one, please let me know and I'll post a pointer here. Otherwise, you're free to come borrow my book long enough to make a copy.
- Reminder: Reading 1 will be discussed in class on Thurs, Jan 28.
Each group should turn in a (less than or equal
to) one page analysis including:
- The names of all group members.
- One paragraph abstract of the paper. (Your own, novel abstract, not the paper's abstract.)
- Between one and three paragraphs of analysis, including any subset of: ideas for refinements or extenstions, observations of mistakes or incomplete bits in the paper, open questions, suggestions for other applications for the material in the paper, questions about confusing bits, etc.
- The solution guide to the pretest is now available.
