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TACAS
2005
Springer
120views Algorithms» more  TACAS 2005»
15 years 5 months ago
Symbolic Test Selection Based on Approximate Analysis
This paper addresses the problem of generating symbolic test cases for testing the conformance of a black-box implementation with respect to a specification, in the context of rea...
Bertrand Jeannet, Thierry Jéron, Vlad Rusu,...
AGI
2011
14 years 3 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
DCC
2006
IEEE
15 years 11 months ago
On Compressibility of Protein Sequences
We consider the problem of compressibility of protein sequences. Based on an observed genome-scale long-range correlation in concatenated protein sequences from different organism...
Donald A. Adjeroh, Fei Nan
85
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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 5 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
SIAMJO
2008
93views more  SIAMJO 2008»
14 years 11 months ago
Recursive Trust-Region Methods for Multiscale Nonlinear Optimization
A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
Serge Gratton, Annick Sartenaer, Philippe L. Toint