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125
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ICAISC
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
158
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ICML
1996
IEEE
15 years 8 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
125
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ICDM
2002
IEEE
15 years 9 months ago
2002
IEEE
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
137
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
129
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PAKDD
2005
ACM
15 years 9 months ago
2005
ACM
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...