[Ligncse256] [Fwd: Spring course announcement]

[Roger Levy]

This should be an excellent course and is a great opportunity.  Lafferty 
is a major figure in machine learning and has made some important 
contributions to NLP too.

Roger

-------- Original Message --------
Subject: Spring course announcement
Date: Mon, 3 Mar 2008 22:40:01 -0800
From: Lawrence Saul <saul at cs.ucsd.edu>
To: cosmal at cs.ucsd.edu, ai at cs.ucsd.edu
CC: John Lafferty <lafferty at cs.cmu.edu>

  =====================================================

   Title: Statistical Machine Learning
   Instructor:  Prof. John Lafferty (visiting from CMU)
   Time: Tuesdays, 11:00--12:50 (beginning April 1)
   Place: CSE 3217

   This will be a graduate level seminar, geared for students who
already
   have some familiarity with machine learning and basic statistical
   theory.  Tentative outline of lectures:

   1. Statistical and computational thinking; parametric
      vs. nonparametric methods.  Review of probability and basic
      statistical theory.

   2. Convexity.  Linear regression and model selection.

   3. Parametric classification, Bayesian inference and mixture models.

   4. Directed and undirected graphical models.

   5. Models for sequential data; structured prediction.

   6. Nonparametric function and density estimation.

   7. Gaussian processes and nonparametric Bayesian methods.

   8. Computational aspects, including distributed computation.

   9. Advanced statistical theory: consistency, minimax theory,
empirical
      processes, concentration of measure.

   10. Sparsity: methods and theory for high dimensional data.

  =====================================================



-- 

Roger Levy                      Email: rlevy at ucsd.edu
Assistant Professor             Phone: 858-534-7219
Department of Linguistics       Fax:   858-534-4789
UC San Diego                    Web:   http://ling.ucsd.edu/~rlevy