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» A Neuroevolutionary Approach to Emergent Task Decomposition
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PPSN
2004
Springer
13 years 9 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
COMPUTING
2007
122views more  COMPUTING 2007»
13 years 4 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He
IJCAI
2003
13 years 5 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
NORDICHI
2006
ACM
13 years 10 months ago
Active surfaces: a novel concept for end-user composition
This paper describes the design process of a modular system for supporting physical and cognitive rehabilitation in the swimming pool. In such an environment, the therapist is cal...
Erik Grönvall, Patrizia Marti, Alessandro Pol...