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Predictive Nyström method for kernel methods

Neurocomputing, 2017
Nystrm method is a widely used matrix approximation method for scaling up kernel methods, and existing sampling strategies for Nystrm method are proposed to improve the matrix approximation accuracy, but leaving approximation independent of learning, which can result in poor predictive performance of kernel methods.
Jiangang Wu   +2 more
openaire   +2 more sources

Kernel Methods

2007
During the past decade, a major revolution has taken place in pattern-recognition technology with the introduction of rigorous and powerful mathematical approaches in problem domains previously treated with heuristic and less efficient techniques.
Cristianini, N.   +2 more
openaire   +1 more source

Geometry and learning curves of kernel methods with polynomial kernels

Systems and Computers in Japan, 2004
AbstractThe properties of learning machines with polynomial kernel classifiers, such as support vector machines or kernel perceptrons, are examined. We first derive the number of effective examples which are related to generalization error. Next, we analyze the average prediction errors of several algorithms and show these errors do not depend on the ...
openaire   +1 more source

Kernel methods

2021
Yuwen Tan, Xiang, Xiang E.
openaire   +1 more source

Exploring nonlinear relationships in chemical data using kernel-based methods

Chemometrics and Intelligent Laboratory Systems, 2011
Qian-Nan Hu, Qing-Song Xu, Guang-Hui Fu
exaly  

Nonlinear Projection Trick in Kernel Methods: An Alternative to the Kernel Trick

IEEE Transactions on Neural Networks and Learning Systems, 2013
Nojun Kwak
exaly  

Reproducing kernel particle methods

International Journal for Numerical Methods in Fluids, 1995
Wing Kam Liu, Sukky Jun
exaly  

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