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» Training of Support Vector Machines with Mahalanobis Kernels
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ACL
2011
14 years 1 months ago
Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
Graph-based dependency parsing can be sped up significantly if implausible arcs are eliminated from the search-space before parsing begins. State-of-the-art methods for arc filt...
Colin Cherry, Shane Bergsma
TITB
2008
102views more  TITB 2008»
14 years 9 months ago
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kern
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
WADS
2001
Springer
80views Algorithms» more  WADS 2001»
15 years 1 months ago
Optimization over Zonotopes and Training Support Vector Machines
Marshall W. Bern, David Eppstein
CVPR
1997
IEEE
15 years 1 months ago
Training Support Vector Machines: an Application to Face Detection
Edgar Osuna, Robert Freund, Federico Girosi