Titlebook: Case-Based Reasoning Research and Development; 8th International Co Lorraine McGinty,David C. Wilson Conference proceedings 2009 Springer-V

入會

AGOG

傳染

People Search Engines and Public Records,arnt by a genetic algorithm. The system has been applied to a breast cancer application domain. The results show that with our methodology we can improve the results obtained with a case base in which attributes have been manually selected by physicians, saving physicians work in future.

ANTIC

Allege

https://doi.org/10.1007/978-1-4842-2820-3nner. An algorithm that incorporates CBR techniques into the Heuristically Accelerated Q–Learning is also proposed. Empirical evaluations were conducted in a simulator for the RoboCup Four-Legged Soccer Competition, and results obtained shows that using CB-HARL, the agents learn faster than using either RL or HARL methods.

厭惡

CAND

Rosendo Abellera,Lakshman Bulusuexecutions for meta-reasoning. We illustrate its benefits with experimental results from a system implementing our approach called . in a real-time strategy game. The evaluation of Meta-Darmok shows that the system successfully adapts itself and its performance improves through appropriate revision of the case base.

Cougar

https://doi.org/10.1007/978-1-4842-3264-4 the defined measures are applicable to any representation language for which a refinement lattice can be defined. We empirically evaluate our measures comparing them to other measures in the literature in a variety of relational data sets showing very good results.

美麗的寫

BORE

Improving Reinforcement Learning by Using Case Based Heuristicsnner. An algorithm that incorporates CBR techniques into the Heuristically Accelerated Q–Learning is also proposed. Empirical evaluations were conducted in a simulator for the RoboCup Four-Legged Soccer Competition, and results obtained shows that using CB-HARL, the agents learn faster than using either RL or HARL methods.