1578 search results - page 222 / 316 » Algorithmic randomness of continuous functions |
194
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
176
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
125
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
164
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PKDD
2009
Springer
16 years 25 days ago
2009
Springer
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
152
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CEC
2005
IEEE
15 years 12 months ago
2005
IEEE
Testing of VLSI circuits can cause generation of excessive heat which can damage the chips under test. In the random testing environment, high-performance CMOS circuits consume sig...