2683 search results - page 120 / 537 » Machine learning problems from optimization perspective |
127
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ISPASS
2009
IEEE
2009
IEEE
Machine learning based online performance prediction for runtime parallelization and task scheduling
15 years 9 months ago
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
150
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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...
151
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ICMLA
2009
15 years 4 days ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
114
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CEC
2009
IEEE
15 years 9 months ago
2009
IEEE
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
143
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ENC
2004
IEEE
15 years 6 months ago
2004
IEEE
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...