791 search results - page 60 / 159 » The Hierarchical Hidden Markov Model: Analysis and Applicati... |
142
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JMLR
2006
15 years 1 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
134
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IDA
2009
Springer
14 years 11 months ago
2009
Springer
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
103
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ICCAD
2008
IEEE
15 years 10 months ago
2008
IEEE
— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...
226
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Book
"From an applications viewpoint, the main reason to study the subject of these notes is to help deal with the complexity of describing random, time-varying functions. A random...
114
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WABI
2009
Springer
15 years 8 months ago
2009
Springer
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...