683 search results - page 26 / 137 » Generalization Bounds for Learning Kernels |
138
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TEC
2012
13 years 5 months ago
2012
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
126
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EUROCOLT
1995
Springer
15 years 6 months ago
1995
Springer
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
100
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
134
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ALT
2004
Springer
15 years 12 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
141
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TIT
2002
15 years 2 months ago
2002
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...