716 search results - page 91 / 144 » Optimizing Sorting with Machine Learning Algorithms |
133
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ICML
1996
IEEE
16 years 2 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
112
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
122
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
101
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
112
Voted
ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...