3668 search results - page 104 / 734 » Margin Distribution and Learning |
148
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
135
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CADE
2001
Springer
16 years 4 months ago
2001
Springer
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
167
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ICANN
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
118
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NIPS
2007
15 years 5 months ago
2007
Recent experimental studies have focused on the specialization of different neural structures for different types of instrumental behavior. Recent theoretical work has provided no...
143
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MMB
2004
Springer
15 years 9 months ago
2004
Springer
A sensitivity analysis of a single-server, infinite-buffer queue with correlated arrivals and correlated service times is performed. We study and compare the isolated impact of (...