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» Multiple Kernel Learning with High Order Kernels
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AIRS
2010
Springer
14 years 12 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
133
Voted
PDPTA
2000
15 years 3 months ago
The PODOS File System - Exploiting the High-Speed Communication Subsystem
Performance Oriented Distributed Operating System (PODOS) is a clustering environment, being built on a monolithic Linux kernel. PODOS augments very few components to the Linux ke...
Sudharshan Vazhkudai, P. Tobin Maginnis
NPL
2002
103views more  NPL 2002»
15 years 1 months ago
Kernel Nearest Neighbor Algorithm
The `kernel approach' has attracted great attention with the development of support vector machine (SVM) and has been studied in a general way. It offers an alternative soluti...
Kai Yu, Liang Ji, Xuegong Zhang
151
Voted
JMLR
2006
124views more  JMLR 2006»
15 years 1 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
134
Voted
JMLR
2008
131views more  JMLR 2008»
15 years 1 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...