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RANLP
2003
13 years 6 months ago
Combining independent modules in lexical multiple-choice problems
Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be bes...
Peter D. Turney, Michael L. Littman, Jeffrey Bigha...
SADM
2010
141views more  SADM 2010»
13 years 19 hour 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
2008
IEEE
13 years 11 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
NIPS
2007
13 years 6 months ago
Density Estimation under Independent Similarly Distributed Sampling Assumptions
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
Tony Jebara, Yingbo Song, Kapil Thadani
ICML
2009
IEEE
14 years 6 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...