Results 261 to 270 of about 1,053,925 (307)

Intuitionistic Fuzzy Weighted Least Squares Twin SVMs

IEEE Transactions on Cybernetics, 2022
Fuzzy membership is an effective approach used in twin support vector machines (SVMs) to reduce the effect of noise and outliers in classification problems.
M. Tanveer, M. A. Ganaie, A. Bhattacharjee, Chin-Teng Lin   +3 more
semanticscholar   +1 more source

Luminance Learning for Remotely Sensed Image Enhancement Guided by Weighted Least Squares

IEEE Geoscience and Remote Sensing Letters, 2022
Low/high or uneven luminance results in low contrast of remotely sensed images (RSIs), which makes it challenging to analyze their contents. In order to improve the contrast and preserving fine weak details of RSIs, this letter proposes a novel ...
Zhenghua Huang, Zifan Zhu, Qing An, Zhicheng Wang, Qin Zhou, Tianxu Zhang, A. Alshomrani   +6 more
semanticscholar   +1 more source

Weighted Least Squares

2011
This item has no ...
Gill, Jeff, Leemann, Lucas
openaire   +4 more sources

Parameter Weighted Least Squares Fitting

IFAC Proceedings Volumes, 1985
Abstract Parameter Weighted Least Squares (PWLS) fitting is a new approach to the linear-in-the-parameter fitting problem. PWLS is appropriate for parameter identification of dynamical systems. Algorithms for direct fitting and recursive fitting of the parameters are presented. A tuning of the fitting algorithm is provided by embracing scalar fitting
F.J. Kraus, M.F. Senning
openaire   +1 more source

Efficient Weighted Least Squares Estimator for Moving Target Localization in Distributed MIMO Radar With Location Uncertainties

IEEE Systems Journal, 2019
An asymptotically efficient estimator for determining the position and velocity of a moving target from time delay and Doppler shift measurements in the presence of location uncertainties in multiple-input multiple-output (MIMO) radar systems with widely
A. Noroozi, M. Sebt, A. Oveis
semanticscholar   +1 more source

A Weighted Least Squares Fuzzy Regression for Crisp Input-Fuzzy Output Data

IEEE transactions on fuzzy systems, 2019
Weighted regression approach is one of the popular problems in robust regression analysis. Recently, robust fuzzy regression models have proven to be alternative approaches to fuzzy regression models attempting to identify, down-weight and/or ignore ...
J. Chachi
semanticscholar   +1 more source

Weighted-Average Least Squares Prediction

Econometric Reviews, 2014
Prediction under model uncertainty is an important and difficult issue. Traditional prediction methods (such as pretesting) are based on model selection followed by prediction in the selected model, but the reported prediction and the reported prediction variance ignore the uncertainty from the selection procedure.
Magnus, Jan R., Wang, Wendun, Zhang, Xinyu   +2 more
openaire   +3 more sources

Weighted Least Squares

2013
Linear regression assumes that the spread of the outcome-values is the same for each predictor value. This assumption is, however, not warranted in many real life situations.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Nonoptimally Weighted Least Squares

The American Statistician, 1988
Abstract This research was supported in part by National Institutes of Health Grants AR20610 (Multipurpose Arthritis Center) and 2R01GM21215–12 (Adaptation of New Statistical Ideas for Medicine) awarded to Stanford University. Most of the ideas here originate with John Tukey, in published or unpublished work. The authors indicate that it was especially
Daniel A. Bloch, Lincoln E. Moses
openaire   +1 more source

Weighted Least Squares Fitting Using Ordinary Least Squares Algorithms

Psychometrika, 1997
A general approach for fitting a model to a data matrix by weighted least squares (WLS) is studied. This approach consists of iteratively performing (steps of) existing algorithms for ordinary least squares (OLS) fitting of the same model. The approach is based on minimizing a function that majorizes the WLS loss function.
openaire   +1 more source