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ADCM
2004
59views more  ADCM 2004»
13 years 5 months ago
Strictly Positive Definite Functions on a Real Inner Product Space
If f(t) = k=0 aktk converges for all t IR with all coefficients ak 0, then the function f(< x, y >) is positive definite on H
Allan Pinkus
ICML
2002
IEEE
14 years 6 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
JMLR
2010
118views more  JMLR 2010»
13 years 2 days ago
Hilbert Space Embeddings and Metrics on Probability Measures
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...
KES
2008
Springer
13 years 5 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito