791 search results - page 83 / 159 » The Hierarchical Hidden Markov Model: Analysis and Applicati... |
121
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FLAIRS
2004
15 years 3 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
106
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KDD
2003
ACM
16 years 2 months ago
2003
ACM
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
104
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BIB
2006
15 years 1 months ago
2006
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
133
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ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
133
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PRL
2000
15 years 1 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...