1474 search results - page 12 / 295 » Using Machine Learning to Focus Iterative Optimization |
125
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OOPSLA
2009
Springer
15 years 8 months ago
2009
Springer
Iterations are time-boxed periods with an intended outcome that is often a set of implemented requirements. Iterations are part of most common software development lifecycle model...
GECCO
2009
Springer
15 years 8 months ago
2009
Springer
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
133
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LION
2007
Springer
15 years 8 months ago
2007
Springer
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
104
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ICFP
2006
ACM
16 years 2 months ago
2006
ACM
Software libraries rely increasingly on iterators to provide generic traversal of data structures. These iterators can be represented either as objects that maintain state or as p...
111
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...