Performance prediction using support vector machine for the configuration of optimization algorithms

The aim of this paper is to propose a machine learning approach for predicting the performance of each configuration of optimization algorithms. Our approach consists of advocating making the decision of finding the most suitable configuration on a per-instance analysis based on a supervised machine...

Celý popis

Podrobná bibliografia

Vydané v:	CloudTech '17 : proceedings of 2017 International Conference of Cloud Computing Technologies and Applications s. 1 - 7
Hlavní autori:	Afia, Abdellatif El, Sarhani, Malek
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2017
Predmet:	Algorithm design and analysis Feature extraction Machine learning algorithms Optimization Prediction algorithms Predictive models Support vector machines
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!