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ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 4 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
AAAI
1996
13 years 11 months ago
A Kernel-Oriented Model for Coalition-Formation in General Environments: Implementation and Results
In this paper we present a model for coalition formation and payo distribution in general environments. We focus on a reduced complexity kernel-oriented coalition formation model,...
Onn Shehory, Sarit Kraus
ICPR
2006
IEEE
14 years 11 months ago
On Kernel Selection in Relevance Vector Machines Using Stability Principle
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
Dmitry Kropotov, Nikita Ptashko, Oleg Vasiliev, Dm...
ARTMED
2004
118views more  ARTMED 2004»
13 years 9 months ago
Bayesian fluorescence in situ hybridisation signal classification
Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based ...
Boaz Lerner
ICML
2009
IEEE
14 years 10 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger