Cost-sensitive Feature Selection for Support Vector Machines
Year of publication: |
2019
|
---|---|
Authors: | Benítez-Peña, S. ; Blanquero, R. ; Carrizosa, Emilio ; Ramírez-Cobo, P. |
Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 106.2019, p. 169-178
|
Subject: | Classification | Data Science | Support Vector Machines | Feature Selection | Integer Programming | Sparsity | Mustererkennung | Pattern recognition | Klassifikation | Künstliche Intelligenz | Artificial intelligence | Ganzzahlige Optimierung | Integer programming | Algorithmus | Algorithm |
-
Margin optimal classification trees
D'Onofrio, Federico, (2024)
-
Adapting support vector optimisation algorithms to textual gender classification
Gomez, Javier, (2024)
-
Algorithms for multiclass classification and regularized regression
Burg, Gerrit Jan Johannes van den, (2018)
- More ...
-
Blanquero, R., (2019)
-
Locating a competitive facility in the plane with a robustness criterion
Blanquero, R., (2011)
-
Inferring Efficient Weights from Pairwise Comparison Matrices
Blanquero, R., (2006)
- More ...