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CIDM
2007
IEEE
16 years 14 days ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
143
Voted
FLAIRS
2000
15 years 7 months ago
Discovering Structural Patterns in Telecommunications Data
With the increasing amount and complexity of data being collected, there is an urgent need to create automated techniques for mining the data. In particular, data being generated ...
Andi Baritchi, Diane J. Cook, Lawrence B. Holder
155
Voted
NIPS
1993
15 years 7 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...
151
Voted
MVA
1994
104views Computer Vision» more  MVA 1994»
15 years 7 months ago
3D-Environment Measurement System for Large-Scale Structure Manufacturing
This papcr presents a 3D-environment nieasurcmcnt systeni for large-scale structure manufacturing. First, a niethod and systeni for generating as-built data are shown. Then a came...
Toshiyuki Aoki, Kohji Kamejima
AEI
1999
89views more  AEI 1999»
15 years 5 months ago
The structure of a physical behaviour description facility
Many computer simulations, experimental testing and monitoring of physical systems produce vast amounts of quantitative data. These data have always been assimilated by trained an...
S. Chandra