4255 search results - page 553 / 851 » On Learning Boolean Functions |
171
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Many of the recently proposed algorithms for learning feature-based ranking functions are based on the pairwise preference framework, in which instead of taking documents in isola...
171
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ACMACE
2005
ACM
15 years 8 months ago
2005
ACM
Exhibitions at a scientific museum are usually difficult for ordinary school pupils. To improve the issues of current explanation systems, we use Personal Data Assistant (PDA) dev...
135
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
212
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IJCAI
2007
15 years 8 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
182
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GECCO
2010
Springer
15 years 6 months ago
2010
Springer
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...