Sciweavers

Share
261 search results - page 1 / 53
» Probabilistic topic modeling for genomic data interpretation
Sort
View
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
9 years 7 months ago
Probabilistic topic modeling for genomic data interpretation
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 ...
Xin Chen, Xiaohua Hu, Xiajiong Shen, Gail Rosen
ML
2015
ACM
4 years 5 months ago
Additive regularization of topic models
Abstract. Probabilistic topic modeling of text collections is a powerful tool for statistical text analysis. Determining the optimal number of topics remains a challenging problem ...
Konstantin Vorontsov, Anna Potapenko
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
10 years 3 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
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...
Xuerui Wang, Andrew McCallum, Xing Wei
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
10 years 9 months ago
Automatic labeling of multinomial topic models
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...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
10 years 9 months ago
Probabilistic author-topic models for information discovery
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...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
books