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» Bayesian Inference for Sparse Generalized Linear Models
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108
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ESANN
2007
15 years 5 months ago
Collaborative Filtering with interlaced Generalized Linear Models
Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
Nicolas Delannay, Michel Verleysen
125
Voted
ICPR
2010
IEEE
15 years 10 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
129
Voted
JMLR
2010
159views more  JMLR 2010»
14 years 10 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
139
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models
We develop a framework to detect when certain sounds are present in a mixed audio signal. We focus on the regime where out of a large number of possible sounds, a small but unknow...
Youngmin Cho, Lawrence K. Saul