58 search results - page 5 / 12 » On Noise-Tolerant Learning of Sparse Parities and Related Pr... |
NIPS
2007
14 years 11 months ago
2007
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
STOC
1993
ACM
15 years 1 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
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AAAI
2010
14 years 11 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
BRAIN
2010
Springer
14 years 8 months ago
2010
Springer
Discovering brain mechanisms underlying pain perception remains a challenging neuroscientific problem with important practical applications, such as developing better treatments f...