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» Evolving Artificial Neural Networks that Develop in Time
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GPEM
2006
82views more  GPEM 2006»
14 years 9 months ago
Shortcomings with using edge encodings to represent graph structures
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
Gregory Hornby
ACMACE
2009
ACM
15 years 4 months ago
Towards tailoring player experience in physical Wii games: a case study on relaxation
In this study we construct an artificial neural network model of players’ relaxation preferences while playing a physical Wii game. Developed technology will assist game designe...
Patrick Jarnfelt, Sebbe Selvig, Dajana Dimovska
IDEAL
2005
Springer
15 years 3 months ago
Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers
Promiscuous human leukocyte antigen (HLA) binding peptides are ideal targets for vaccine development. Existing computational models for prediction of promiscuous peptides used hidd...
Ivana Bozic, Guanglan Zhang, Vladimir Brusic
62
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ICANN
2009
Springer
15 years 4 months ago
Algorithms for Structural and Dynamical Polychronous Groups Detection
Polychronization has been proposed as a possible way to investigate the notion of cell assemblies and to understand their role as memory supports for information coding. In a spiki...
Régis Martinez, Hélène Paugam...
GECCO
2000
Springer
15 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