248 search results - page 5 / 50 » Probabilistic topic modeling for genomic data interpretation |
113
Voted
ISAMI
2010
14 years 9 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
94
Voted
KDD
2007
ACM
16 years 1 days ago
2007
ACM
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
103
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ISMB
2000
15 years 1 months ago
2000
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
93
Voted
TREC
2007
15 years 24 days ago
2007
The University of Illinois at Urbana-Champaign (UIUC) participated in TREC 2007 Genomics Track. Our general goal of participation is to apply language modelbased approaches to the...
SDM
2009
SIAM
15 years 8 months ago
2009
SIAM
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...