6799 search results - page 1012 / 1360 » The Tao of Modeling Spaces |
162
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
147
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ICSE
2008
IEEE-ACM
16 years 7 months ago
2008
IEEE-ACM
We present a novel technique that speeds up state-space exploration (SSE) for evolving programs with dynamically allocated data. SSE is the essence of explicit-state model checkin...
165
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ISBI
2004
IEEE
16 years 7 months ago
2004
IEEE
Functional MRI studies commonly refer to activation patterns as being localized in specific Brodmann areas, referring to Brodmann's divisions of the human cortex based on cyt...
159
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
193
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...