1474 search results - page 215 / 295 » Using Machine Learning to Focus Iterative Optimization |
119
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
152
Voted
ATAL
2005
Springer
15 years 8 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
119
Voted
PLDI
2004
ACM
15 years 8 months ago
2004
ACM
Instruction scheduling is a compiler optimization that can improve program speed, sometimes by 10% or more—but it can also be expensive. Furthermore, time spent optimizing is mo...
127
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WWW
2008
ACM
16 years 3 months ago
2008
ACM
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
123
Voted
INFOCOM
2007
IEEE
15 years 9 months ago
2007
IEEE
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...