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179
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ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
172
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AIPS
2007
15 years 9 months ago
2007
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
179
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NIPS
2007
15 years 8 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
157
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ECIS
2003
15 years 8 months ago
2003
One of the primary methods employed by researchers to judge the merits of new heuristics and algorithms is to run them on accepted benchmark test cases and comparing their perform...
154
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ICTAI
2009
IEEE
16 years 1 months ago
2009
IEEE
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...