5463 search results - page 518 / 1093 » Evaluating algorithms that learn from data streams |
211
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ICCBR
2009
Springer
16 years 1 months ago
2009
Springer
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
183
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ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
181
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MTA
2007
15 years 6 months ago
2007
This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent su...
177
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IDEAS
2005
IEEE
16 years 14 days ago
2005
IEEE
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
196
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ILP
2007
Springer
16 years 1 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...