Arbeitspapier
Response Surface Methodology for Optimizing Hyper Parameters
The performance of an algorithm often largely depends on some hyper parameter which should be optimized before its usage. Since most conventional optimization methods suffer from some drawbacks, we developed an alternative way to find the best hyper parameter values. Contrary to the well known procedures, the new optimization algorithm is based on statistical methods since it uses a combination of Linear Mixed Effect Models and Response Surface Methodology techniques. In particular, the Method of Steepest Ascent which is well known for the case of an Ordinary Least Squares setting and a linear response surface has been generalized to be applicable for repeated measurements situations and for response surfaces of order o ?Ü 2.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Report ; No. 2006,09
- Subject
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repeated measurements
Random Intercepts Model
deterministic error terms
Method of Steepest Ascent
Support Vector Machine
- Event
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Geistige Schöpfung
- (who)
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Weihs, Claus
Luebke, Karsten
Czogiel, Irina
- Event
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Veröffentlichung
- (who)
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Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
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Dortmund
- (when)
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2006
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Weihs, Claus
- Luebke, Karsten
- Czogiel, Irina
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 2006
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Uncertainty of the optimum influence factor levels in multicriteria optimization using the concept of desirability
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Lyapunov exponent for stochastic time series
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A note on the behaviour of the process capability index C_pmk with asymmetric specification limits
Pareto-Optimality and Desirability Indices
Desirability to characterize process capability
Uncertainty of the optimum influence factor levels in multicriteria optimization using the concept of desirability
Business cycle prediction using support vector methods
Stability of multivariate representation of business cycles over time
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The capacity constrained mining firm under various tax regimes
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