1055 search results - page 21 / 211 » Convex Factorization Machines |
115
Voted
AAECC
2007
Springer
15 years 17 days ago
2007
Springer
We present a simulation-based performance model to analyze a parallel sparse LU factorization algorithm on modern cached-based, high-end parallel architectures. We consider supern...
106
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ICMLA
2009
14 years 10 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
88
Voted
CIKM
2010
Springer
14 years 11 months ago
2010
Springer
Matrix factorization methods are among the most common techniques for detecting latent components in data. Popular examples include the Singular Value Decomposition or Nonnegative...
114
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
114
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ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost functi...