1578 search results - page 222 / 316 » Algorithmic randomness of continuous functions |
ICML
2007
IEEE
14 years 9 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 ...
ICML
2006
IEEE
14 years 9 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...
ICML
2000
IEEE
14 years 9 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...
PKDD
2009
Springer
14 years 3 months 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 ...
CEC
2005
IEEE
14 years 2 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...