Adaptive classification under computational budget constraints using sequential data gathering
| Autor: | Tom Dhaene, Joachim van der Herten, Dirk Deschrijver, Ivo Couckuyt |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Technology and Engineering
Surrogate modeling TOOLBOX Computer science ENGINEERING DESIGN 02 engineering and technology computer.software_genre Machine learning 0202 electrical engineering electronic engineering information engineering ELECTRONIC DEVICES Use case ALGORITHM OPTIMIZATION Sequential design IDENTIFICATION business.industry General Engineering Constrained optimization 020206 networking & telecommunications Classification Computer experiment Support vector machine SUPPORT VECTOR MACHINES Statistical classification Identification (information) COMPUTER EXPERIMENTS Sequential analysis SUMO Toolbox IBCN 020201 artificial intelligence & image processing Artificial intelligence Data mining Engineering design process business computer Software |
| Zdroj: | ADVANCES IN ENGINEERING SOFTWARE |
| ISSN: | 0965-9978 |
| DOI: | 10.1016/j.advengsoft.2016.05.016 |
| Popis: | The extension of the SUMO-Toolbox for classification is presented.State-of-the-art tool for modeling and optimization of budget-constrained problems.Includes the Neighborhood-Voronoi method for sequential sampling.Illustrative examples, including complex expensive constrained optimization. Classification algorithms often handle large amounts of labeled data. When a label is the result of a very expensive computer experiment (in terms of computational time), sequential selection of samples can be used to limit the overall cost of acquiring the labeled data. This paper outlines the concept of sequential design for classification, and the extension of an existing state-of-the-art research platform for surrogate modeling to handle classification problems with sequential design. The capabilities of the platform are illustrated on a number of use cases including real-world applications such as an ElectroMagnetic Compatibility (EMC) and a Computational Fluid Dynamics (CFD) problem. The CFD problem also illustrates how classification can be used together with regression techniques to solve multi-objective constrained optimization problems of complex systems. |
| Databáze: | OpenAIRE |
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