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TACAS
2005
Springer
120views Algorithms» more  TACAS 2005»
14 years 1 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
12 years 11 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
14 years 7 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
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 1 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»
13 years 7 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