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» On numerical optimization theory of infinite kernel learning
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72
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SIAMJO
2010
136views more  SIAMJO 2010»
14 years 4 months ago
A New Exchange Method for Convex Semi-Infinite Programming
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
Liping Zhang, Soon-Yi Wu, Marco A. López
87
Voted
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 8 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
JMIV
2010
115views more  JMIV 2010»
14 years 8 months ago
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
Minh Ha Quang, Sung Ha Kang, Triet M. Le
97
Voted
NIPS
2003
14 years 11 months ago
Learning to Find Pre-Images
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
Gökhan H. Bakir, Jason Weston, Bernhard Sch&o...
103
Voted
IJCAI
2007
14 years 11 months ago
Kernel Conjugate Gradient for Fast Kernel Machines
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
Nathan D. Ratliff, J. Andrew Bagnell