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» Online EM Algorithm for Latent Data Models
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CORR
2007
Springer
108views Education» more  CORR 2007»
13 years 6 months ago
Online EM Algorithm for Latent Data Models
Olivier Cappé, Eric Moulines
NECO
1998
116views more  NECO 1998»
13 years 5 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 16 days 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...
ISICA
2007
Springer
14 years 11 days ago
Parameter Setting for Evolutionary Latent Class Clustering
The latent class model or multivariate multinomial mixture is a powerful model for clustering discrete data. This model is expected to be useful to represent non-homogeneous popula...
Damien Tessier, Marc Schoenauer, Christophe Bierna...
CVPR
2009
IEEE
15 years 1 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic