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» Machine Intelligibility and the Duality Principle
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ESSMAC
2003
Springer
14 years 3 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ATAL
2008
Springer
13 years 11 months ago
Methods for complex single-mind architecture designs
The implementation of software systems with large numbers of heterogeneous components calls for a powerful design methodology. Although several such methodologies have been propos...
Kristinn R. Thórisson, Gudny Ragna Jonsdott...
IWCLS
2007
Springer
14 years 4 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
UPP
2004
Springer
14 years 3 months ago
From Prescriptive Programming of Solid-State Devices to Orchestrated Self-organisation of Informed Matter
Abstract. Achieving real-time response to complex, ambiguous, highbandwidth data is impractical with conventional programming. Only the narrow class of compressible input-output ma...
Klaus-Peter Zauner
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 4 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow