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CPAIOR
2009
Springer
15 years 4 months ago
Max Energy Filtering Algorithm for Discrete Cumulative Resources
Abstract. In scheduling using constraint programming we usually reason only about possible start times and end times of activities and remove those which are recognized as unfeasib...
Petr Vilím
ICML
2005
IEEE
16 years 4 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 6 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
ICRA
2005
IEEE
144views Robotics» more  ICRA 2005»
15 years 8 months ago
Hill-Based Model as a Myoprocessor for a Neural Controlled Powered Exoskeleton Arm - Parameters Optimization
— The exoskeleton robot, serving as an assistive device worn by the human (orthotic), functions as a humanamplifier. Setting the human machine interface (HMI) at the neuro-muscu...
Ettore Cavallaro, Jacob Rosen, Joel C. Perry, Step...
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 5 months ago
Stochastic local search in continuous domains: questions to be answered when designing a novel algorithm
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...
Petr Posik