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» Using a neural network in the software testing process
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COLING
1990
13 years 10 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 10 months ago
Optimal Multi-class Classification with Principal Components
An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtai...
Albert Hoang
TSMC
2008
177views more  TSMC 2008»
13 years 7 months ago
Adaptive Critic Learning Techniques for Engine Torque and Air-Fuel Ratio Control
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Derong Liu, Hossein Javaherian, Olesia Kovalenko, ...
ICST
2008
IEEE
14 years 3 months ago
Designing and Building a Software Test Organization
–Abstract for conference - preliminary Model-Based Testing: Models for Test Cases Jan Tretmans, Embedded Systems Institute, Eindhoven : Systematic testing of software plays an im...
Bruce Benton
ICIP
2005
IEEE
14 years 10 months ago
Artificial neural network-based segmentation and apple grading by machine vision
In this paper, a computer vision based system is introduced to automatically sort apple fruits. An artificial neural network segments the defected regions on fruit by pixel-wise p...
Devrim Unay, Bernard Gosselin