1474 search results - page 165 / 295 » Using Machine Learning to Focus Iterative Optimization |
158
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
121
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CISS
2008
IEEE
15 years 9 months ago
2008
IEEE
— We consider dual subgradient methods for solving (nonsmooth) convex constrained optimization problems. Our focus is on generating approximate primal solutions with performance ...
136
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
We derive a robust Euclidean embedding procedure based on semidefinite programming that may be used in place of the popular classical multidimensional scaling (cMDS) algorithm. We...
137
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ICML
2004
IEEE
15 years 8 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...