238 search results - page 31 / 48 » Learning for Optical Flow Using Stochastic Optimization |
NIPS
2001
13 years 10 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
GECCO
2007
Springer
14 years 25 days ago
2007
Springer
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
RECOMB
2003
Springer
14 years 9 months ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...