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» Estimating Likelihoods for Topic Models
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ACML
2009
Springer
13 years 11 months ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine

Lecture Notes
561views
15 years 3 months ago
Financial Econometrics
These notes cover several topics such as Review of Statistics, Least Squares and Maximum Likelihood Estimation, Index Models, Testing CAPM and Multifactor Models Event Studies, Ti...
Paul Söderlind
ICML
2010
IEEE
13 years 5 months ago
Conditional Topic Random Fields
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
Jun Zhu, Eric P. Xing
NIPS
2008
13 years 6 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
IJBRA
2006
107views more  IJBRA 2006»
13 years 4 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky