Support Vector Regression with Interval-Input Interval-Output

Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performanc...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wensen An [verfasserIn] Cecilio Angulo [verfasserIn] Yanguang Sun [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2008

Schlagwörter:	Support vector regression Interval-input interval-output Uncertainties Quadratic programming

Übergeordnetes Werk:	In: International Journal of Computational Intelligence Systems - Springer, 2017, 1(2008), 4
Übergeordnetes Werk:	volume:1 ; year:2008 ; number:4

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.2991/ijcis.2008.1.4.2

Katalog-ID:	DOAJ043008380

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callnumber-first	Q - Science
author	Wensen An
spellingShingle	Wensen An misc QA75.5-76.95 misc Support vector regression misc Interval-input interval-output misc Uncertainties misc Quadratic programming misc Electronic computers. Computer science Support Vector Regression with Interval-Input Interval-Output
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topic_title	QA75.5-76.95 Support Vector Regression with Interval-Input Interval-Output Support vector regression Interval-input interval-output Uncertainties Quadratic programming
topic	misc QA75.5-76.95 misc Support vector regression misc Interval-input interval-output misc Uncertainties misc Quadratic programming misc Electronic computers. Computer science
topic_unstemmed	misc QA75.5-76.95 misc Support vector regression misc Interval-input interval-output misc Uncertainties misc Quadratic programming misc Electronic computers. Computer science
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title	Support Vector Regression with Interval-Input Interval-Output
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title_full	Support Vector Regression with Interval-Input Interval-Output
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title_sort	support vector regression with interval-input interval-output
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title_auth	Support Vector Regression with Interval-Input Interval-Output
abstract	Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance for estimating prediction interval are presented as well.
abstractGer	Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance for estimating prediction interval are presented as well.
abstract_unstemmed	Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance for estimating prediction interval are presented as well.
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title_short	Support Vector Regression with Interval-Input Interval-Output
url	https://doi.org/10.2991/ijcis.2008.1.4.2 https://doaj.org/article/a95abe713f0446a18906b6103516436e https://www.atlantis-press.com/article/1792.pdf https://doaj.org/toc/1875-6883
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up_date	2024-07-03T15:12:28.235Z
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