1474 search results - page 5 / 295 » Using Machine Learning to Focus Iterative Optimization |
102
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HIS
2007
15 years 1 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
ICML
2001
IEEE
16 years 14 days ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...
100
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ICMLA
2010
14 years 9 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
ALT
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. A variant of iterative learning in the limit (cf. [LZ96]) is studied when a learner gets negative examples refuting conjectures containing data in excess of the target la...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...