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» On-line support vector machines and optimization strategies
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101
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IJBRA
2010
116views more  IJBRA 2010»
14 years 11 months ago
Scaling alignment of large ontologies
: In recent years, the number of ontologies shared on the Web has increased dramatically, supporting a growing set of applications such as biological knowledge sharing, enhanced se...
Suzette Stoutenburg, Jugal Kalita, Kaily Ewing, Li...
105
Voted
SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
15 years 9 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
99
Voted
ICASSP
2010
IEEE
14 years 11 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
ICML
2008
IEEE
16 years 1 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
93
Voted
SC
1991
ACM
15 years 4 months ago
Interprocedural transformations for parallel code generation
We present a new approach that enables compiler optimization of procedure calls and loop nests containing procedure calls. We introduce two interprocedural transformationsthat mov...
Mary W. Hall, Ken Kennedy, Kathryn S. McKinley