901 search results - page 89 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
121
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DAGM
2004
Springer
15 years 8 months ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
142
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FMCO
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. Formal methods, in particular model checking, are increasingly accepted as integral part of system development. With large software systems beyond the range of fully auto...
134
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
105
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
153
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JMLR
2010
14 years 10 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...