1235 search results - page 38 / 247 » Learning with Idealized Kernels |
123
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COLT
2007
Springer
15 years 10 months ago
2007
Springer
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
115
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
118
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JMLR
2007
15 years 3 months ago
2007
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
145
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ALT
2007
Springer
16 years 22 days ago
2007
Springer
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
154
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PRIB
2009
Springer
15 years 10 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...