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Titlebook: Machine Learning: ECML 2001; 12th European Confer Luc Raedt,Peter Flach Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001

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樓主: Tyler
11#
發(fā)表于 2025-3-23 09:45:05 | 只看該作者
12#
發(fā)表于 2025-3-23 14:16:27 | 只看該作者
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14#
發(fā)表于 2025-3-23 23:36:46 | 只看該作者
15#
發(fā)表于 2025-3-24 03:07:30 | 只看該作者
Estimating the Predictive Accuracy of a Classifiermate classifier performance with a high degree of confidence and gain knowledge about the classifier through the regression models generated. We exploit the results of the models to predict the ranking of the inducers. We also show that the best strategy for performance estimation is not necessarily the best one for ranking generation.
16#
發(fā)表于 2025-3-24 08:42:45 | 只看該作者
A Reinforcement Learning Algorithm Applied to Simplified Two-Player Texas Hold’em Pokererent strategies, and simultaneously shift their probability distributions towards more successful actions. The algorithm is a special case of the lagging anchor algorithm, to appear in the journal .. We test the algorithm on a simplified, yet non-trivial, version of two-player Hold’em poker, with good results.
17#
發(fā)表于 2025-3-24 12:15:27 | 只看該作者
18#
發(fā)表于 2025-3-24 15:22:57 | 只看該作者
19#
發(fā)表于 2025-3-24 19:25:12 | 只看該作者
Learning What People (Don’t) Wantt performs an automatic decomposition of user preferences. Our approach has several benefits, including highly accurate predictions, task-optimized model learning, mining of interest groups and patterns, as well as a highly efficient and scalable computation of predictions and recommendation lists.
20#
發(fā)表于 2025-3-25 00:06:53 | 只看該作者
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