Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Partial classification"'
Akademický článek
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Autor:
Matteo Bianchi, Stefano Aguzzoli
Publikováno v:
Fuzzy Sets and Systems. 418:84-100
Basic Logic BL, introduced by P. Hajek in 1998, is the logic of all continuous t-norms and their residua. The variety of BL-algebras forms the algebraic semantics of BL. Let L be a variety of BL-algebras, and let L ( L ) be its lattice of subvarietie
Publikováno v:
Journal of Algebraic Combinatorics. 54:1021-1045
Designs over edge-regular, co-edge-regular and amply regular graphs are investigated. Using linear algebra, we obtain lower bounds in certain inequalities involving the parameters of the designs. Some results on designs meeting the bounds are obtaine
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1664 (2019)
Classification association rules that integrate association rules with classification are playing an important role in data mining. However, the time cost on constructing the classification model, and predicting new instances, will be long, due to th
Externí odkaz:
https://doaj.org/article/c9aeab68c6804edf9e590852e33bd0b6
Autor:
Alexander Isaev
Publikováno v:
Annales de la Faculté des sciences de Toulouse : Mathématiques. 28:957-976
In our earlier articles we studied tube hypersurfaces in ${\mathbb C}^3$ that are 2-nondegenerate and uniformly Levi degenerate of rank 1. In particular, we showed that the vanishing of the CR-curvature of such a hypersurface is equivalent to the Mon
Autor:
Christophe Lecoutre, Laetitia Jourdan, Nicolas Szczepanski, Gilles Audemard, Nadarajen Veerapen, Lucien Mousin
Publikováno v:
GECCO '21: Genetic and Evolutionary Computation Conference
GECCO '21: Genetic and Evolutionary Computation Conference, Jul 2021, Lille France, France. pp.723-731, ⟨10.1145/3449639.3459310⟩
GECCO
GECCO '21: Genetic and Evolutionary Computation Conference, Jul 2021, Lille France, France. pp.723-731, ⟨10.1145/3449639.3459310⟩
GECCO
In the domain of partial classification, recent studies about multiobjective local search (MOLS) have led to new algorithms offering high performance, particularly when the data are imbalanced. In the presence of such data, the class distribution is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4f85cbcdd99e8ef506581af92b22a5b
https://hal.archives-ouvertes.fr/hal-03281930
https://hal.archives-ouvertes.fr/hal-03281930
Autor:
Ahmed Riadh Baba-Ali, Aouatef Mahani
Publikováno v:
Knowledge and Information Systems. 61:1303-1329
Classification consists of extracting a classifier from large datasets. A dataset is imbalanced if it contains more instances in one class compared to the others. An imbalanced dataset contains majority instances and minority ones. It is worth noting
Autor:
Nordheim, Erik V.
Publikováno v:
Journal of the American Statistical Association, 1984 Dec 01. 79(388), 772-780.
Externí odkaz:
https://www.jstor.org/stable/2288707
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1664 (2019)
Applied Sciences
Volume 9
Issue 8
Applied Sciences
Volume 9
Issue 8
Classification association rules that integrate association rules with classification are playing an important role in data mining. However, the time cost on constructing the classification model, and predicting new instances, will be long, due to th