Efficient multi-criteria optimization on noisy machine learning problems
- 1 April 2015
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 29, 357-370
- https://doi.org/10.1016/j.asoc.2015.01.005
Abstract
No abstract availableKeywords
Funding Information
- Bundesministerium für Bildung und Forschung (BMBF) (SOMA (AiF FKZ 17N1009))
- Cologne University of Applied Sciences
This publication has 36 references indexed in Scilit:
- Gradient-Based Adaptation of General Gaussian KernelsNeural Computation, 2005
- Evolutionary tuning of multiple SVM parametersNeurocomputing, 2005
- Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision SupportLecture Notes in Computer Science, 2004
- A comprehensive survey of fitness approximation in evolutionary computationSoft Computing, 2003
- Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithmsIEEE Transactions on Neural Networks, 2002
- Choosing Multiple Parameters for Support Vector MachinesMachine Learning, 2002
- Completely Derandomized Self-Adaptation in Evolution StrategiesEvolutionary Computation, 2001
- An Introduction to Model SelectionJournal of Mathematical Psychology, 2000
- Efficient Global Optimization of Expensive Black-Box FunctionsJournal of Global Optimization, 1998
- Design and Analysis of Computer ExperimentsStatistical Science, 1989