85 search results - page 6 / 17 » On Approximating Real-World Halting Problems |
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— Mobile robots have successfully solved many real world problems. In the following we present the use of mobile robots to address the novel and challenging problem of providing ...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...