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» Single Run Optimization Using the Reverse-Simulation Method
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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 10 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
MCS
2000
Springer
15 years 8 months ago
Classifier Instability and Partitioning
Various methods exist for reducing correlation between classifiers in a multiple classifier framework. The expectation is that the composite classifier will exhibit improved perfor...
Terry Windeatt
DAM
2007
94views more  DAM 2007»
15 years 4 months ago
New formulations for the Kissing Number Problem
Determining the maximum number of D-dimensional spheres of radius r that can be adjacent to a central sphere of radius r is known as the Kissing Number Problem (KNP). The problem ...
Sergei Kucherenko, Pietro Belotti, Leo Liberti, Ne...
CJ
2004
90views more  CJ 2004»
15 years 4 months ago
Extended k-Nearest Neighbours based on Evidence Theory
An evidence theoretic classification method is proposed in this paper. In order to classify a pattern we consider its neighbours, which are taken as parts of a single source of ev...
Hui Wang, David A. Bell
BMCBI
2010
117views more  BMCBI 2010»
15 years 4 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski