CS 3750  Advanced Topics in Machine Learning (ISSP 3535)


Time:  Tuesday, Thursday 4:00pm - 5:15pm am 
Location: Sennott Square, Room 5313


Instructor:  Milos Hauskrecht
Computer Science Department
5329 Sennott Square
phone: x4-8845
e-mail: milos_at_cs_pitt_edu
office hours: TBA


Topics and related readings.

Basics of Matrix algebra

Basics of density estimation Graphical models: BBNs and MRFs

Complexity Results for Bayesian Belief networks

Exact inference algorithms

Monte Carlo methods:

Loopy Belief propagation

Learning Belief networks from data

Basics:

EM

PCA and SVD

Applications of PCA and SVD basics:

Latent variable component analysis

Variational methods:

Variational ML learning for component analysis

Probabilistic models for time-series and sequence analysis

Conditional Random Fields