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» Using a neural network in the software testing process
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FLAIRS
2004
13 years 10 months ago
Decision Tree Extraction from Trained Neural Networks
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
Darren Dancey, David McLean, Zuhair Bandar
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 10 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
ICSM
2008
IEEE
14 years 3 months ago
REST: A tool for reducing effort in script-based testing
Since manual black-box testing of GUI-based APplications (GAPs) is tedious and laborious, test engineers create test scripts to automate the testing process. These test scripts in...
Qing Xie, Mark Grechanik, Chen Fu
ISMB
1994
13 years 10 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
IAJIT
2010
99views more  IAJIT 2010»
13 years 7 months ago
Hybrid computing algorithm in representing solid model
: This paper presents an algorithm, which is a hybrid-computing algorithm in representing solid model. The proposed algorithm contains two steps namely reconstruction and represent...
Muhammad Matondang, Habibollah Haron