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JMLR
2006
156views more  JMLR 2006»
14 years 11 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...
NIPS
2003
15 years 1 months ago
Kernels for Structured Natural Language Data
This paper devises a novel kernel function for structured natural language data. In the field of Natural Language Processing, feature extraction consists of the following two ste...
Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
HPDC
1998
IEEE
15 years 3 months ago
Strings: A High-Performance Distributed Shared Memory for Symmetrical Multiprocessor Clusters
This paper introduces Strings, a high performance distributed shared memory system designed for clusters of symmetrical multiprocessors (SMPs). The distinguishing feature of this ...
Sumit Roy, Vipin Chaudhary
BIOINFORMATICS
2005
71views more  BIOINFORMATICS 2005»
14 years 11 months ago
Semi-supervised protein classification using cluster kernels
A key issue in supervised protein classification is the representation of input sequences of amino acids. Recent work using string kernels for protein data has achieved state-of-t...
Jason Weston, Christina S. Leslie, Eugene Ie, Deng...
BCBGC
2008
15 years 1 months ago
BMA - Boolean Matrices as Model for Motif Kernels
We introduce the data model BM, which specifies kernels of motifs by means of Boolean matrices. Different from position frequency matrices these only specify which bases can appea...
Jan Schröder, Manfred Schimmler, Heiko Schr&o...