85 search results - page 16 / 17 » A Note on Learning and Evolution in Neural Networks |
ICML
1996
IEEE
14 years 7 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...
IEEEPACT
2008
IEEE
14 years 1 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
EVOW
2007
Springer
13 years 10 months ago
2007
Springer
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
IJCNN
2006
IEEE
14 years 22 days ago
2006
IEEE
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...