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» Exploiting a Probabilistic Hierarchical Model for Generation
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IJON
1998
102views more  IJON 1998»
14 years 9 months ago
Developments of the generative topographic mapping
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
Christopher M. Bishop, Markus Svensén, Chri...
BMCBI
2007
146views more  BMCBI 2007»
14 years 9 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
90
Voted
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
15 years 4 months ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...
IVA
2009
Springer
15 years 4 months ago
A Probabilistic Model of Motor Resonance for Embodied Gesture Perception
Abstract. Basic communication and coordination mechanisms of human social interaction are assumed to be mediated by perception-action links. These links ground the observation and ...
Amir Sadeghipour, Stefan Kopp
73
Voted
NIPS
2004
14 years 11 months ago
Incremental Algorithms for Hierarchical Classification
We study the problem of hierarchical classification when labels corresponding to partial and/or multiple paths in the underlying taxonomy are allowed. We introduce a new hierarchi...
Nicolò Cesa-Bianchi, Claudio Gentile, Andre...