Results 41 to 50 of about 10,692,124 (255)
Shape Parameter Estimation [PDF]
Performance of machine learning approaches depends strongly on the choice of misfit penalty, and correct choice of penalty parameters, such as the threshold of the Huber function.
Aravkin, Aleksandr Y. +2 more
core +3 more sources
Novel parameter estimation schemes in microsystems [PDF]
This paper presents two novel estimation methods that are designed to enhance our ability of observing, positioning, and physically transforming the objects and/or biological structures in micromanipulation tasks.
Baran, Eray Abdurrahman +7 more
core +1 more source
Recursive Parameter Estimation: Convergence
We consider estimation procedures which are recursive in the sense that each successive estimator is obtained from the previous one by a simple adjustment.
Sharia, Teo
core +2 more sources
Prepaid parameter estimation without likelihoods.
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they are often painstakingly slow and convergence is difficult to assess.
Merijn Mestdagh +4 more
doaj +1 more source
Parameter Estimation Strategies in Thermodynamics
Many thermodynamic models used in practice are at least partially empirical and thus require the determination of certain parameters using experimental data.
Johannes Höller +9 more
doaj +1 more source
A Clutter Parameter Estimation Method Based on Origin Moment Derivation
Parameter estimation is significant to prediction and estimation in the field of radar clutter characteristics. Therefore, it is necessary to study the problem of parameter estimation.
Liru Yang +4 more
doaj +1 more source
Estimation of Collision Impact Parameter
We demonstrate that the nuclear collision geometry (i.e. impact parameter) can be determined with 1.5 fm accuracy in an event-by-event analysis by measuring the transverse energy flow in the pseudorapidity region $3 \le |\eta| \le 5$ with a minimal ...
Bedjidian M +17 more
core +2 more sources
Decoupled Parameter Estimation Methods for Hammerstein Systems by Using Filtering Technique
The implementation of parameter estimation of Hammerstein systems is much difficult due to the existing parameter products from the nonlinear block and the linear block. This paper directly decomposes the parameter coupling between the nonlinear part and
Dongqing Wang, Zhen Zhang, Bingqiang Xue
doaj +1 more source
Parameter estimation for peaky altimetric waveforms [PDF]
Much attention has been recently devoted to the analysis of coastal altimetric waveforms. When approaching the coast, altimetric waveforms are sometimes corrupted by peaks caused by high reflective areas inside the illuminated land surfaces or by the ...
Boy, François +4 more
core +4 more sources
Parameter Estimation from an Optimal Projection in a Local Environment
The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters.
A. Bijaoui +3 more
core +1 more source

