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» Using a neural network in the software testing process
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CIARP
2009
Springer
14 years 1 months ago
Neural Network Ensembles from Training Set Expansions
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
Debrup Chakraborty
APSEC
2004
IEEE
14 years 20 days ago
An Approach to Detecting Domain Errors Using Formal Specification-Based Testing
Domain testing, a technique for testing software or portions of software dominated by numerical processing, is intended to detect domain errors that usually arise from incorrect i...
Yuting Chen, Shaoying Liu
NN
2008
Springer
146views Neural Networks» more  NN 2008»
13 years 8 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
TNN
2008
102views more  TNN 2008»
13 years 8 months ago
Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks
Abstract--This paper is concerned with the robust synchronization problem for an array of coupled stochastic discrete-time neural networks with time-varying delay. The individual n...
J. Liang, Z. Wang, Y. Liu, X. Liu
ICASSP
2011
IEEE
13 years 20 days ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury