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» Decision Making Using Probabilistic Inference Methods
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ECML
2003
Springer
15 years 7 months ago
Optimizing Local Probability Models for Statistical Parsing
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
120
Voted
ICML
2007
IEEE
16 years 3 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
FDG
2009
ACM
15 years 9 months ago
Very fast action selection for parameterized behaviors
In this paper, I will discuss a set of techniques for supporting limited variable binding in behavior-based systems. This adds additional useful expressivity while preserving the ...
Ian Horswill
107
Voted
HICSS
2003
IEEE
179views Biometrics» more  HICSS 2003»
15 years 7 months ago
JUMBL: A Tool for Model-Based Statistical Testing
Statistical testing of software based on a usage model is a cost-effective and efficient means to make inferences about software quality. In order to apply this method, a usage m...
Stacy J. Prowell
136
Voted
CVPR
2004
IEEE
16 years 4 months ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...