Selection of time instants and intervals with Support Vector Regression for multivariate functional data
Year of publication: |
2020
|
---|---|
Authors: | Blanquero, Rafael ; Carrizosa, Emilio ; Jiménez-Cordero, Asunción ; Martín-Barragán, Belén |
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. 123.2020, p. 1-24
|
Subject: | Functional regression | Machine learning | Support Vector Regression | Time interval selection | Regressionsanalyse | Regression analysis | Mustererkennung | Pattern recognition | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory |
-
Kwasa, Shadrack, (2021)
-
Algorithms for multiclass classification and regularized regression
Burg, Gerrit Jan Johannes van den, (2018)
-
Complete subset least squares support vector regression
Qiu, Yue, (2021)
- More ...
-
A dissimilarity-based approach for Classification
Carrizosa, Emilio, (2005)
-
Binarized support vector machines
Carrizosa, Emilio, (2007)
-
A dissimilarity-based approach for Classification
Carrizosa, Emilio, (2005)
- More ...