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» Using a neural network in the software testing process
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ICASSP
2009
IEEE
13 years 6 months ago
Phonological features in discriminative classification of dysarthric speech
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
Frank Rudzicz
ISPW
2007
IEEE
14 years 3 months ago
Comparative Experiences with Electronic Process Guide Generator Tools
The primary objective of all software engineering courses is to help students learn how to develop successful software systems with good software engineering practices. Various too...
Monvorath Phongpaibul, Supannika Koolmanojwong, Al...
HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
14 years 3 months ago
Reconciling Manual and Automated Testing: The AutoTest Experience
Software can be tested either manually or automatically. The two approaches are complementary: automated testing can perform a large number of tests in little time, whereas manual...
Andreas Leitner, Ilinca Ciupa, Bertrand Meyer, Mar...
IWANN
2005
Springer
14 years 2 months ago
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term alternative, other longer-term alternatives sho...
Hugues Berry, Olivier Temam
JMLR
2006
389views more  JMLR 2006»
13 years 9 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...