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» A Quantitative Theory of Neural Computation
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ACMACE
2009
ACM
13 years 5 months ago
Dramaturgies of PLACE: evaluation, embodiment and performance in PLACE-Hampi
This paper examines an extensive user evaluation survey undertaken during an installation of PLACE-Hampi, a custombuilt augmented stereoscopic panoramic interactive cultural herit...
Sarah Kenderdine, Jeffrey Shaw, Anita Kocsis
CEC
2008
IEEE
14 years 1 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 1 months ago
MILCS: a mutual information learning classifier system
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
Robert Elliott Smith, Max Kun Jiang
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
14 years 28 days ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
BMEI
2008
IEEE
13 years 9 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...