1474 search results - page 184 / 295 » Using Machine Learning to Focus Iterative Optimization |
137
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CORR
2007
Springer
15 years 3 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
148
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CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
122
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
141
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JMLR
2008
15 years 3 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
132
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GECCO
2008
Springer
15 years 4 months ago
2008
Springer
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...