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SADM
2010
141views more  SADM 2010»
15 years 1 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
ICASSP
2011
IEEE
14 years 10 months ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
WABI
2009
Springer
155views Bioinformatics» more  WABI 2009»
16 years 1 months ago
A Markov Classification Model for Metabolic Pathways
Background: This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first ide...
Timothy Hancock, Hiroshi Mamitsuka
AIMS
2007
Springer
16 years 1 months ago
Harnessing Models for Policy Conflict Analysis
Policy conflict analysis processes based solely on the examination of policy language constructs can not readily discern the semantics associated with the managed system for which ...
Steven Davy, Brendan Jennings
CIKM
2007
Springer
16 years 1 months ago
Extending query translation to cross-language query expansion with markov chain models
Dictionary-based approaches to query translation have been widely used in Cross-Language Information Retrieval (CLIR) experiments. Using these approaches, translation has been not...
Guihong Cao, Jianfeng Gao, Jian-Yun Nie, Jing Bai