1474 search results - page 89 / 295 » Using Machine Learning to Focus Iterative Optimization |
133
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HIS
2004
15 years 4 months ago
2004
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
134
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IEEEPACT
1998
IEEE
15 years 7 months ago
1998
IEEE
This work identifies practical compiling techniques for scalable shared memory machines. For this, we have focused on experimental studies using a real machine and representative ...
135
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AUSAI
2006
Springer
15 years 6 months ago
2006
Springer
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
105
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
140
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AIPS
2007
15 years 5 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...