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A DPG method for linear quadratic optimal control problems
(Elsevier Ltd, 2024)
The DPG method with optimal test functions for solving linear quadratic optimal control problems with control constraints is studied. We prove existence of a unique optimal solution of the nonlinear discrete problem and ...
Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data
(Elsevier, 2021)
OBJECTIVE: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. STUDY DESIGN AND SETTING: ...
Optimal Parameter Estimation of Solar PV Panel Based on Hybrid Particle Swarm and Grey Wolf Optimization Algorithms
The performance of a solar photovoltaic (PV) panel is examined through determining its internal parameters based on single and double diode models. The environmental conditions such as temperature and the level of radiation ...
Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments
(Ieee, 2014-01-01)
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. ...
A new approach for biased affine estimation
(IEEE, 2014)
The problem of biased affine estimation is discussed in the present paper. Affine estimation is a technique for improving parameter estimation through the inclusion of a-priori information in a non-bayesian setting. Here, ...
Application of natural computing algorithms to maximum likelihood estimation of direction of arrival
(Elsevier Science BvAmsterdamHolanda, 2012)
Equivalent optimization model for loss minimization: a suitable analysis approach
(Ieee-inst Electrical Electronics Engineers IncNew York, 1997)
Constraints implementation for IQML and mode direction-of-arrival estimators
(2000-12-01)
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with ...
Constraints implementation for IQML and mode direction-of-arrival estimators
(2000-12-01)
The iterative quadratic maximum likelihood IQML and the method of direction estimation MODE are well known high resolution direction-of-arrival DOA estimation methods. Their solutions lead to an optimization problem with ...
How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms
(Springer, 2021)
SVM with an RBF kernel is usually one of the best classification algorithms for most data sets, but it is important to tune the two hyperparameters C and γ to the data itself. In general, the selection of the hyperparameters ...