1400 search results - page 53 / 280 » Bayesian hierarchical clustering |
159
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NIPS
2004
15 years 7 months ago
2004
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
168
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ASC
2004
15 years 6 months ago
2004
The retrieval performance of an information retrieval system usually increases when it uses the relationships among the terms contained in a given document collection. However, th...
198
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RECOMB
2001
Springer
16 years 6 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
188
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TSP
2008
15 years 4 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
149
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CLASSIFICATION
2007
15 years 6 months ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...