990 search results - page 130 / 198 » Learning with non-positive kernels |
NIPS
2008
14 years 11 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...
SAMOS
2010
Springer
14 years 7 months ago
2010
Springer
OpenCL is a programming language standard which enables the programmer to express the application by structuring its computation as kernels. The OpenCL compiler is given the explic...
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ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We discuss how the runtime of SVM optimization should decrease as the size of the training data increases. We present theoretical and empirical results demonstrating how a simple ...