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TKDE
2010
224views more  TKDE 2010»
15 years 5 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
179
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ICML
2009
IEEE
16 years 7 months ago
Piecewise-stationary bandit problems with side observations
We consider a sequential decision problem where the rewards are generated by a piecewise-stationary distribution. However, the different reward distributions are unknown and may c...
Jia Yuan Yu, Shie Mannor
ICML
2007
IEEE
16 years 7 months ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth
ECML
2007
Springer
16 years 28 days ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
185
Voted
HICSS
2005
IEEE
166views Biometrics» more  HICSS 2005»
16 years 11 days ago
Prototyping the Emergence of Collaborative Knowledge
E-learning growth is driven by global, societal, and technological changes that both enable and require increased worker and learner mobility, access to distributed domain experti...
Rita M. Vick, Apperson H. Johnson