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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
103
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
119
Voted
OSDI
1994
ACM
15 years 4 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...
102
Voted
HOTOS
2003
IEEE
15 years 8 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...