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ACL
2010
13 years 5 months ago
Cross-Lingual Latent Topic Extraction
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
Duo Zhang, Qiaozhu Mei, ChengXiang Zhai
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
14 years 7 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
AI
2008
Springer
13 years 9 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
NIPS
2000
13 years 8 months ago
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
We describe a joint probabilistic model for modeling the contents and inter-connectivity of document collections such as sets of web pages or research paper archives. The model is...
David A. Cohn, Thomas Hofmann
BMCBI
2006
91views more  BMCBI 2006»
13 years 7 months ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma