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» Kernels for Semi-Structured Data
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KES
2008
Springer
15 years 2 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
102
Voted
ICML
2003
IEEE
16 years 3 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
OSDI
1994
ACM
15 years 3 months ago
A Caching Model of Operating System Kernel Functionality
Operating system research has endeavored to develop micro-kernels that provide modularity, reliability and security improvements over conventional monolithic kernels. However, the...
David R. Cheriton, Kenneth J. Duda
JMLR
2006
156views more  JMLR 2006»
15 years 2 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
HOTOS
2003
IEEE
15 years 7 months ago
Cosy: Develop in User-Land, Run in Kernel-Mode
User applications that move a lot of data across the user-kernel boundary suffer from a serious performance penalty. We provide a framework, Compound System Calls (CoSy), to enhan...
Amit Purohit, Charles P. Wright, Joseph Spadavecch...