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» Learning with Idealized Kernels
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ICASSP
2011
IEEE
14 years 3 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
NIPS
2004
15 years 1 months ago
Kernels for Multi--task Learning
This paper provides a foundation for multi
Charles A. Micchelli, Massimiliano Pontil
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 7 days ago
Learning subspace kernels for classification
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...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
ANTS
2010
Springer
250views Algorithms» more  ANTS 2010»
15 years 3 months ago
A Subexponential Algorithm for Evaluating Large Degree Isogenies
An isogeny between elliptic curves is an algebraic morphism which is a group homomorphism. Many applications in cryptography require evaluating large degree isogenies between ellip...
David Jao, Vladimir Soukharev
IJON
2002
112views more  IJON 2002»
14 years 11 months ago
Kernel methods: a survey of current techniques
Kernel methods have become an increasingly popular tool for machine learning tasks such as classi
Colin Campbell