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Polyhedral Separability through Successive LP

Articolo
Data di Pubblicazione:
2002
Abstract:
We address the problem of discriminating between two finite point sets, A and B, in the n-dimensional space by h hyperplanes generating a convex polyhedron. If the intersection of the convex hull of A with B is empty, the two sets can be strictly separated (polyhedral separability). We introduce an error function which is piecewise linear but not convex nor concave and define a descent procedure based on iterative solution of LP descent direction finding subproblems.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Classification; Separability; Machine learning.; Optimization
Elenco autori:
Astorino, Annabella
Autori di Ateneo:
ASTORINO ANNABELLA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/126520
Pubblicato in:
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
Journal
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