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Efficient optimization of hyper-parameters for least-squares support vector regression

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

Andreas Fischer - , Chair of Numerical Optimization (Author)
Gerd Langensiepen - (Author)
Klaus Luig - (Author)
Nico Strasdat - , Chair of Numerical Optimization (Author)
Thorsten Thies - (Author)

Details

Original language	English
Pages (from-to)	1095-1108
Number of pages	14
Journal	Optimization Methods and Software
Volume	30
Publication status	Published - 2015
Peer-reviewed	Yes

External IDs

Scopus	84942364621

Keywords

Research priority areas of TU Dresden

Data-intensive Sciences

DFG Classification of Subject Areas according to Review Boards

Mathematics

Subject groups, research areas, subject areas according to Destatis

Applied Mathematics
Artificial Intelligence

ASJC Scopus subject areas

Keywords

Support vector regression, hyper-parameter, model selection, bilevel optimization