248 search results - page 1 / 50 » Probabilistic topic modeling for genomic data interpretation |
BIBM
2010
IEEE
13 years 2 months ago
2010
IEEE
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
KDD
2007
ACM
14 years 4 months ago
2007
ACM
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
KDD
2004
ACM
14 years 4 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
CIKM
2008
Springer
13 years 6 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...