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» Computing Minimal Diagnoses by Greedy Stochastic Search
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ICALP
2003
Springer
14 years 22 days ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper
PR
2007
100views more  PR 2007»
13 years 7 months ago
Linear manifold clustering in high dimensional spaces by stochastic search
Classical clustering algorithms are based on the concept that a cluster center is a single point. Clusters which are not compact around a single point are not candidates for class...
Robert M. Haralick, Rave Harpaz
JAIR
2010
165views more  JAIR 2010»
13 years 6 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. ...
IBERAMIA
2004
Springer
14 years 27 days ago
A Multi-robot Strategy for Rapidly Searching a Polygonal Environment
In this paper we address the problem of finding an object in a polygonal environment as quickly as possible on average, with a team of mobile robots that can sense the environment...
Alejandro Sarmiento, Rafael Murrieta-Cid, Seth Hut...
ICPR
2004
IEEE
14 years 8 months ago
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
Amit David, Boaz Lerner