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NIPS
2003

156views Information Technology» more NIPS 2003»

Learning to Find Pre-Images

13 years 8 months ago

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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...

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IJCNN
2007
IEEE

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Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines

14 years 1 months ago

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Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...

Gavin C. Cawley, Nicola L. C. Talbot

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ICML
2004
IEEE

207views Machine Learning» more ICML 2004»

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm

14 years 8 months ago

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In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...

Zhihua Zhang, Dit-Yan Yeung, James T. Kwok

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COLT
2007
Springer

107views Machine Learning» more COLT 2007»

Teaching Dimension and the Complexity of Active Learning

14 years 1 months ago