28 search results - page 3 / 6 » On Learning Bounded-Width Branching Programs |
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
NIPS
1993
13 years 9 months ago
1993
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
ISCA
1997
IEEE
14 years 18 days ago
1997
IEEE
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...