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» Probabilistic topic modeling for genomic data interpretation
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KDD
2007
ACM
237views Data Mining» more  KDD 2007»
15 years 9 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
ISMB
2000
14 years 10 months ago
Genomic Fold Assignment and Rational Modeling of Proteins of Biological Interest
The first available genome of a multicellular organism, C. elegans, was used as a test case for protein fold assignment using PSI-BLAST, followed by rational structure modeling an...
J. Michael Sauder, Roland L. Dunbrack Jr.
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 3 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
CIDU
2010
14 years 7 months ago
Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification
Abstract. The Aviation Safety Reporting System (ASRS) is used to collect voluntarily submitted aviation safety reports from pilots, controllers and others. As such it is particular...
Amrudin Agovic, Hanhuai Shan, Arindam Banerjee
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
The topic-perspective model for social tagging systems
In this paper, we propose a new probabilistic generative model, called Topic-Perspective Model, for simulating the generation process of social annotations. Different from other g...
Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Ti...