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» Optimized Approximation Algorithm in Neural Networks Without...
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PODS
2008
ACM
159views Database» more  PODS 2008»
15 years 9 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
IWANN
2009
Springer
15 years 2 months ago
A Soft Computing System to Perform Face Milling Operations
In this paper we present a soft computing system developed to optimize the face milling operation under High Speed conditions in the manufacture of steel components like molds with...
Raquel Redondo, Pedro Santos, Andrés Bustil...
94
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 3 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
75
Voted
ISNN
2009
Springer
15 years 4 months ago
An Improved Quantum Evolutionary Algorithm with 2-Crossovers
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
Zhihui Xing, Haibin Duan, Chunfang Xu
87
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ACIVS
2008
Springer
15 years 3 months ago
Sub-optimal Camera Selection in Practical Vision Networks through Shape Approximation
Within a camera network, the contribution of a camera to the observations of a scene depends on its viewpoint and on the scene configuration. This is a dynamic property, as the sc...
Huang Lee, Linda Tessens, Marleen Morbée, H...