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UAI
2008
15 years 8 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
JACIII
2006
114views more  JACIII 2006»
15 years 6 months ago
A Theoretical Formulation of Object-Oriented Rough Set Models
ata forms, and abstract structural hierarchy based on is-a relationship and has-a relationship. Object structures illustrate many kinds of objects and actual dependence among objec...
Yasuo Kudo, Tetsuya Murai
CORR
2002
Springer
96views Education» more  CORR 2002»
15 years 6 months ago
Models and Tools for Collaborative Annotation
The Annotation Graph Toolkit (AGTK) is a collection of software which facilitates development of linguistic annotation tools. AGTK provides a database interface which allows appli...
Xiaoyi Ma, Haejoong Lee, Steven Bird, Kazuaki Maed...
CONNECTION
2007
87views more  CONNECTION 2007»
15 years 6 months ago
Efficient architectures for sparsely-connected high capacity associative memory models
In physical implementations of associative memory, wiring costs play a significant role in shaping patterns of connectivity. In this study of sparsely-connected associative memory...
Lee Calcraft, Rod Adams, Neil Davey
IJON
2002
88views more  IJON 2002»
15 years 6 months ago
Curved feature metrics in models of visual cortex
We study the relation between maps of a high-dimensional stimulus manifold onto an essentially two-dimensional cortical area and low-dimensional maps of stimulus features such as ...
Norbert Michael Mayer, J. Michael Herrmann, Theo G...