2878 search results - page 360 / 576 » Learning the Common Structure of Data |
185
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ML
1998
ACM
15 years 6 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
227
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BMCBI
2011
15 years 1 months ago
2011
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
188
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SSDBM
2006
IEEE
16 years 15 days ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
207
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JMLR
2010
15 years 1 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
189
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ICIP
2010
IEEE
15 years 4 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...