2103 search results - page 97 / 421 » Approximate Learning of Dynamic Models |
126
Voted
DSMML
2004
Springer
15 years 8 months ago
2004
Springer
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
159
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
186
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JMLR
2008
15 years 4 months ago
2008
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
185
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CN
2006
15 years 4 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
146
Voted
JSAC
2010
15 years 3 months ago
2010
—Inspired by the biological entities’ ability to achieve reciprocity in the course of evolution, this paper considers a conjecture-based distributed learning approach that enab...