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IJCNN
2006
IEEE
15 years 4 months ago
Preparing More Effective Liquid State Machines Using Hebbian Learning
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
David Norton, Dan Ventura
IJCNN
2006
IEEE
15 years 4 months ago
Constraints on the Design Process for Systems with Human Level Intelligence
—Any system which must learn to perform a large number of behavioral features with limited information handling resources will tend to be constrained within a set of architectura...
L. Andrew Coward
IJCNN
2006
IEEE
15 years 4 months ago
Reinforcement Learning for Platform-Independent Visual Robot Control
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
David Muse, Kevin Burn, Stefan Wermter
IJCNN
2006
IEEE
15 years 4 months ago
Semi-supervised feature selection via multiobjective optimization
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
Julia Handl, Joshua D. Knowles
IJCNN
2006
IEEE
15 years 4 months ago
Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy
—A generic prioritization framework is introduced for addressing the problem of automated prioritization of target selection and instrument usage, applicable to Earth and Space r...
Wolfgang Fink