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This paper proposes a multi-objective approach to cope with the weight tuning problem for practitioners.
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To demonstrate the performance of our proposed design, we apply our approach for the tuning problem of Support Vector Machines.
Gilles et al. applied this method for the hyperparameter tuning problem in support vector machine modeling.
The presented work is part of a larger research project, the ultimate goal of which is to allow qualifying the contribution of newly introduced rules with respect to existing ones, and possibly to design PI autotuners encompassing more than one rule, and capable of selecting the 'best' one for each particular tuning problem.
A violinist, for example, tunes the violin before playing and can even compensate for tuning problems while playing by slightly repositioning the fingers on the strings.
The new methods are quite different than many existing numerical methods in that they are locally conservative by design, the resulting discrete linear systems are symmetric and positive-definite, and there is no need for tuning problem-dependent penalty factors.
In this paper, we address the automated tuning of input specification for supervised inductive learning and develop combinatorial optimization solutions for two such tuning problems.
Fund-raising would be no problem for him -- just tune in on Labor Day weekend -- but he has health problems.
This paper studies the load mitigation problem for wind turbines by using active tuned mass dampers.
In order to cope with the various problems for tuning parameters prior to device usage, we present in this paper a method to personalize the hearing aid algorithm during usage to actual user preferences.
In this paper, robust-based design optimization problems for tuned mass dampers are formulated and resolved in view of fuzzy environments.
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