5463 search results - page 705 / 1093 » Evaluating algorithms that learn from data streams |
231
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MDM
2010
Springer
16 years 12 days ago
2010
Springer
Motivated by many applications, top-k query is a fundamental operation in modern database systems. Technological advances have enabled the deployment of large-scale sensor networks...
225
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JAIR
1998
15 years 7 months ago
1998
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
206
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IROS
2006
IEEE
16 years 1 months ago
2006
IEEE
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
200
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ECIR
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
202
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JAIR
2010
15 years 6 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...