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150
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JMLR
2012
13 years 6 months ago
2012
Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performa...
128
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
150
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AAAI
2010
15 years 4 months ago
2010
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
142
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SIGIR
2009
ACM
15 years 10 months ago
2009
ACM
With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effe...
147
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FOCS
2008
IEEE
15 years 10 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...