168 search results - page 23 / 34 » A Troubleshooting Approach with Dependent Actions |
ATAL
2007
Springer
14 years 4 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
ATAL
2005
Springer
14 years 3 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...
WCRE
2006
IEEE
14 years 3 months ago
2006
IEEE
Most approaches in reverse engineering literature generate a single view of a software system that restricts the scope of the reconstruction process. We propose an orchestrated se...
ENTER
2008
Springer
13 years 11 months ago
2008
Springer
Recommender systems (RS) are employed to personalize user interaction with (e.g. tourism) web-sites, supporting both navigation through large service assortments and the configura...
PEPM
2011
ACM
13 years 20 days ago
2011
ACM
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...