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ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
JDCTA
2010
14 years 4 months ago
2010
Performance indexes of the embedded real-time operating system are not isolated but interacting with each other. Two sets of elements aiming to describe the relationship between t...
APIN
2000
14 years 9 months ago
2000
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
79
Voted
WSC
2007
14 years 12 months ago
2007
Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key elem...