This is the schedule of topics for Seminar on Computational Learning, Fall 2008. Readings are pointers to the list of readings.
THIS SCHEDULE IS A WORK IN PROGRESS!
In addition, some topic areas may take longer than expected, so keep
an eye on the class mailing list or e-mail me for "official"
dates.
Class | Topic |
Readings | Other |
---|---|---|---|
Sep 8 | Administrivia, overview, and core computational learning concepts | Mitchell, Chapter 1; Sagan (1979); Pinker (1979), p. 217-220; | Gordon and desJardins (1995) |
Sep 15 | Maximum likelihood; smoothing; expectation maximization (EM) algorithms. | S. Purcell, Maximum Likelihood Estimation, Sections 1-2; Gale and Sampson (1995); Pereira (2000), esp. Section 4 | Mathworld: Bernoulli Distribution and Maximum Likelihood; Church and Gale (1990); Mitchell, Sec 6.12 |
Sep 22 | EM for HMMs (the forward-backward algorithm); Feature-based representations and dimensionality reduction (LSA) | Philip Resnik, A Simple Recipe for EM Update Equations; Landauer (1998) or Landauer and Dumais (1997); all discussion in the class blog. | HMM background: Jurafsky and Martin (2nd ed.): pp. 139-151 and 173-192 (in the PDF locker as hmm_part[1234567].pdf) |
Sep 29 | [Bill Idsardi] Perceptron learning, neural network classification. Brief introductory discussion, followed by watching Geoff Hinton, The Next Generation of Neural Networks (60 minutes); discussion. | Mitchell, Chapter 4 | |
Oct 6 | [Bill Idsardi] Support vector machines and the kernel trick; VC dimension | ||
Oct 13 | Bayesian inference and graphical models | Charniak, E. (1991), Bayesian networks without tears. AI Magazine, 12, 50-63 | Goldwater on lexical acquisition; Google Talk by Justin Domke; |
Oct 20 | [Chris Dyer] The minimum description length principle (MDL) | Chapter 1 of Peter Grunwald's tutorial on MDL; Brent et al. (1995). | |
Oct 27 | The maximum entropy principle (maxent) | Adwait Ratnaparkhi, A Maximum Entropy Model for Part-Of-Speech Tagging (EMNLP 1996) | Other useful readings include Adwait Ratnaparkhi's A Simple Introduction to Maximum Entropy Models for Natural Language Processing (1997) and Adam Berger's maxent tutorial; and Noah Smith's notes on loglinear models. |
Nov 3 | Stochastic optimization: genetic algorithms, simulated annealing | Darrell Whitley, A Genetic Algorithm Tutorial | Gendreu, An Introduction to Tabu Search; a bit of ancient history |
Nov 10 | [Bill Idsardi] PAC learnability | Optional reading | |
Nov 17 | Language identification in the limit (Gold's paradigm) | Chapters 1 and 2 of Wexler and Culicover (1980) (zipfile) | Gold (1967), Language Identification in the Limit; Osherson, Stob, and Weinstein (1986), Systems That Learn (MIT Press); |
Nov 24 | Grammatical inference (syntactic pattern recognition, grammar induction) | Pereira and Wright, Finite-state approximation of phrase structure grammars; Stolcke and Omohundro, Inducing Probabilistic Grammars by Bayesian Model Merging | Angluin and Smith (1983), Inductive Inference: Theory and Methods; Parekh and Honavar, Grammar inference, automata induction, and language acquisition (1998); de la Phil Blunsom, Trevor Cohn, Miles Osborne, Bayesian Synchronous Grammar Induction; |
Dec 2 | Current machine learning approaches to grammar learning | Reading Goldwater and Johnson (ref?); Taskar et al., Max-Margin Parsing; Klein and Manning, A Generative Constituent-Context Model for Improved Grammar Induction; Klein and Manning, Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency; Zettlemoyer and Collins, Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars; Zettlemoyer and Collins, Online Learning of Relaxed CCG Grammars for Parsing to Logical Form | |
Dec 8 | Carry-over from last class; project status reports | ||
Dec 15 | Come to Chris Dyer's 895 defense! |
Philip Resnik, Associate Professor
Department of Linguistics and Institute for Advanced Computer Studies
Department of Linguistics
1401 Marie Mount Hall UMIACS phone: (301) 405-6760
University of Maryland Linguistics phone: (301) 405-8903
College Park, MD 20742 USA Fax: (301) 314-2644 / (301) 405-7104
http://umiacs.umd.edu/~resnik E-mail: resnik AT umd _DOT.GOES.HERE_ edu