2388 search results - page 97 / 478 » Kernel information embeddings |
142
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NIPS
2008
15 years 6 months ago
2008
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
114
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NIPS
2007
15 years 6 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
144
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EMSOFT
2004
Springer
15 years 10 months ago
2004
Springer
We present a technique to approximate the worst-case execution time that combines structural analysis with a loop-bounding algorithm based on local induction variable analysis. St...
159
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EVOW
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
224
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VLSISP
2011
14 years 11 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...