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» Learning nonlinear dynamic models
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CEC
2007
IEEE
15 years 9 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...
ICC
2007
IEEE
126views Communications» more  ICC 2007»
15 years 9 months ago
Responsiveness on the Interactive Grid
The Grid vision promises the secure and dynamic sharing of heterogeneous resources across the Internet. To date the emphasis has been on supercomputing scenarios where a relatively...
Colin Allison, Stuart D. J. Purdie, Alan Miller
SACI
2007
IEEE
15 years 9 months ago
Geometric Theory and Control of Linear Parameter Varying Systems
: Linear Parameter Varying(LPV) systems appear in a form of LTI state space representations where the elements of the A(ρ), B(ρ), C(ρ) matrices can depend on an unknown but at a...
Jozsef Bokor
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 3 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
ECML
2007
Springer
15 years 4 months ago
Sequence Labeling with Reinforcement Learning and Ranking Algorithms
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...
Francis Maes, Ludovic Denoyer, Patrick Gallinari