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ECML
2007
Springer
13 years 8 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass

Book
498views
15 years 3 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
CLIN
2001
13 years 6 months ago
A Named Entity Recognition System for Dutch
We describe a Named Entity Recognition system for Dutch that combines gazetteers, handcrafted rules, and machine learning on the basis of seed material. We used gazetteers and a c...
Fien De Meulder, Walter Daelemans, Véroniqu...
KCAP
2005
ACM
13 years 10 months ago
Acquisition and maintenance of constraints in engineering design
The Designers’ Workbench is a system, developed by the Advanced Knowledge Technologies (AKT) consortium to support designers in large organizations, such as RollsRoyce, by makin...
Suraj Ajit, Derek H. Sleeman, David W. Fowler, Dav...
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 9 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
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...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...