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GECCO
2000
Springer
14 years 1 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
IWANN
2005
Springer
14 years 3 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
Cédric Archambeau, Michel Verleysen
ICAISC
2004
Springer
14 years 3 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...

Book
519views
15 years 8 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
IJCNN
2007
IEEE
14 years 4 months ago
The Improved Correlation Matrix Memory (CMML)
—This paper examines the motivation and concepts of dynamic encoders (for binary neural networks) introduced by Shah in the author’s RASC 2004 and 2006 conference papers [1], [...
Nimish Shah, Simon O'Keefe, Jim Austin