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» Generating Tests from Counterexamples
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JCB
2006
125views more  JCB 2006»
13 years 10 months ago
Hypothesis Generation in Signaling Networks
Biological signaling networks comprise the chemical processes by which cells detect and respond to changes in their environment. Such networks have been implicated in the regulati...
Derek A. Ruths, Luay Nakhleh, M. Sriram Iyengar, S...
ESE
2006
100views Database» more  ESE 2006»
13 years 10 months ago
An evaluation of combination strategies for test case selection
This paper presents results from a comparative evaluation of five combination strategies. Combination strategies are test case selection methods that combine "interesting&quo...
Mats Grindal, Birgitta Lindström, Jeff Offutt...
JAIR
2010
165views more  JAIR 2010»
13 years 9 months ago
A Model-Based Active Testing Approach to Sequential Diagnosis
Model-based diagnostic reasoning often leads to a large number of diagnostic hypotheses. The set of diagnoses can be reduced by taking into account extra observations (passive mon...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
NIPS
1997
14 years 3 days ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
SMA
2003
ACM
170views Solid Modeling» more  SMA 2003»
14 years 4 months ago
Contour generators of evolving implicit surfaces
The contour generator is an important visibility feature of a smooth object seen under parallel projection. It is the curve on the surface which seperates front-facing regions fro...
Simon Plantinga, Gert Vegter