Weighing Evidence in the Absence of a Gold Standard Phil Long Genome Institute of Singapore (joint work with K.R.K. “Krish” Murthy, Vinsensius Vega, Nir.
1 in data, and …uncertainty and complexity in models.
Text Learning Tom M. Mitchell Aladdin Workshop Carnegie Mellon University January 2003.
I256 Applied Natural Language Processing Fall 2009 Lecture 6 Introduction of Graphical Models Part of speech tagging Barbara Rosario.
Submodularity in Machine Learning Andreas Krause Stefanie Jegelka.
structure in models and data
Structure and Uncertainty
Bayesian inference A general scenario: Query variables: X Evidence (observed) variables and their values: E = e Unobserved variables: Y Inference.
Review: Bayesian learning and inference
Bayesian networks More commonly called graphical models A way to depict conditional independence relationships between random variables A compact specification.
CS B 553: A LGORITHMS FOR O PTIMIZATION AND L EARNING Structure Learning.
Machine Learning CUNY Graduate Center Lecture 21: Graphical Models.