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» Kernel Measures of Conditional Dependence
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NIPS
2008
13 years 9 months ago
Kernelized Sorting
Object matching is a fundamental operation in data analysis. It typically requires the definition of a similarity measure between the classes of objects to be matched. Instead, we...
Novi Quadrianto, Le Song, Alex J. Smola
JMLR
2008
88views more  JMLR 2008»
13 years 7 months ago
Universal Multi-Task Kernels
In this paper we are concerned with reproducing kernel Hilbert spaces HK of functions from an input space into a Hilbert space Y, an environment appropriate for multi-task learnin...
Andrea Caponnetto, Charles A. Micchelli, Massimili...
NIPS
2007
13 years 9 months ago
A Kernel Statistical Test of Independence
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le ...
OSDI
2004
ACM
14 years 8 months ago
ksniffer: Determining the Remote Client Perceived Response Time from Live Packet Streams
As dependence on the World Wide Web continues to grow, so does the need for businesses to have quantitative measures of the client perceived response times of their Web services. ...
David P. Olshefski, Jason Nieh, Erich M. Nahum
ICASSP
2008
IEEE
14 years 2 months ago
Reproducing kernel Hilbert spaces for spike train analysis
This paper introduces a generalized cross-correlation (GCC) measure for spike train analysis derived from reproducing kernel Hilbert spaces (RKHS) theory. An estimator for GCC is ...
António R. C. Paiva, Il Park, Jose C. Princ...