375 search results - page 13 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
101
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CORR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
ICPR
2002
IEEE
16 years 24 days ago
2002
IEEE
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
127
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IJDMB
2008
14 years 11 months ago
2008
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
101
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MCS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
122
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CISS
2008
IEEE
15 years 6 months ago
2008
IEEE
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...