1032 search results - page 115 / 207 » Efficient Learning of Neural Networks with Evolutionary Algo... |
256
Voted
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 8 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
134
Voted
ICANN
2010
Springer
15 years 4 months ago
2010
Springer
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
144
Voted
GECCO
2011
Springer
14 years 7 months ago
2011
Springer
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
155
Voted
ICIG
2009
IEEE
15 years 1 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
137
Voted
IWANN
2009
Springer
15 years 10 months ago
2009
Springer
Generating test data for formal state based specifications is computationally expensive. This paper improves a framework that addresses this issue by representing the test data ge...