3643 search results - page 429 / 729 » Learning Submodular Functions |
140
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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...
217
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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...
184
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GECCO
2010
Springer
15 years 7 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...
207
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JMLR
2006
15 years 6 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
182
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ACL
2009
15 years 4 months ago
2009
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...