716 search results - page 46 / 144 » Optimizing Sorting with Machine Learning Algorithms |
COLT
2004
Springer
15 years 7 months ago
2004
Springer
We give the first polynomial time prediction strategy for any PAC-learnable class C that probabilistically predicts the target with mistake probability poly(log(t)) t = ˜O 1 t w...
125
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
195
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NIPS
2008
15 years 3 months ago
2008
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
129
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CORR
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
ECML
2007
Springer
15 years 8 months ago
2007
Springer
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...