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ECSQARU
2009
Springer
15 years 11 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
15 years 11 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
KBSE
2007
IEEE
15 years 10 months ago
Adaptation hiding modularity
Growth in the complexity of computing systems, in the dynamism of the environments they operate in, and the need for timely adaptations as conditions change, now pose significant...
Yuanyuan Song
ROMAN
2007
IEEE
134views Robotics» more  ROMAN 2007»
15 years 10 months ago
Learning Reward Modalities for Human-Robot-Interaction in a Cooperative Training Task
—This paper proposes a novel method of learning a users preferred reward modalities for human-robot interaction through solving a cooperative training task. A learning algorithm ...
Anja Austermann, Seiji Yamada
WECWIS
2007
IEEE
119views ECommerce» more  WECWIS 2007»
15 years 10 months ago
Towards an Objective Assessment of Centrality Measures in Reputation Systems
Reputation systems facilitate cooperation in open environments. Centrality-based reputation systems use centrality measures to rank individuals, i.e., compute their reputation bas...
Christian von der Weth, Klemens Böhm
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