1474 search results - page 18 / 295 » Using Machine Learning to Focus Iterative Optimization |
BMCBI
2008
15 years 2 months ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
131
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DATE
2008
IEEE
15 years 8 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
129
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HPCA
2004
IEEE
16 years 2 months ago
2004
IEEE
This paper focuses on generating efficient software pipelined schedules for in-order machines, which we call Converged Trace Schedules. For a candidate loop, we form a string of t...
124
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ICML
1995
IEEE
16 years 3 months ago
1995
IEEE
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
114
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ML
2006
ACM
15 years 2 months ago
2006
ACM
Higher-order typed languages, such as ML, provide strong support for data and type abn. While such abstraction is often viewed as costing performance, there are situations where i...