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» Dirichlet Process Mixtures of Generalized Linear Models
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CIKM
2009
Springer
15 years 8 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He
119
Voted
ACL
2006
15 years 3 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
Yee Whye Teh
121
Voted
ICML
2009
IEEE
16 years 2 months ago
Nonparametric factor analysis with beta process priors
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
John William Paisley, Lawrence Carin
ICA
2007
Springer
15 years 8 months ago
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by ...
Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D...
AAAI
2010
14 years 12 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen