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» Neural Network Algorithms for the p-Median Problem
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HIS
2008
15 years 15 days ago
Hybrid Approach for Machine Scheduling Optimization in Custom Furniture Industry
Machine scheduling is a critical problem in industries where products are custom-designed. The wide range of products, the lack of previous experiences in manufacturing, and the s...
Juan Carlos Vidal, Manuel Mucientes, Alberto Bugar...
NECO
2007
258views more  NECO 2007»
14 years 10 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 3 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
CASDMKM
2004
Springer
147views Data Mining» more  CASDMKM 2004»
15 years 4 months ago
Data Set Balancing
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
David L. Olson
IJCNN
2007
IEEE
15 years 5 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar