Results 31 to 40 of about 10,133,028 (343)

Time Scale in Least Square Method

open access: yesAbstract and Applied Analysis, 2014
Study of dynamic equations in time scale is a new area in mathematics. Time scale tries to build a bridge between real numbers and integers. Two derivatives in time scale have been introduced and called as delta and nabla derivative.
Özgür Yeniay   +3 more
doaj   +1 more source

Robust Incremental Least Mean Square Algorithm With Dynamic Combiner

open access: yesIEEE Access, 2022
In distributed wireless networks, the adaptation process depends on the information being shared between various nodes. The global minimum, is therefore, likely to be affected when the information shared between the nodes gets corrupted.
Syed Safi Uddin Qadri   +3 more
doaj   +1 more source

Least Square Regularized Regression for Multitask Learning

open access: yesAbstract and Applied Analysis, 2013
The study of multitask learning algorithms is one of very important issues. This paper proposes a least-square regularized regression algorithm for multi-task learning with hypothesis space being the union of a sequence of Hilbert spaces.
Yong-Li Xu, Di-Rong Chen, Han-Xiong Li
doaj   +1 more source

Analisis Pengaruh Variabel-Variabel Makroekonomi terhadap Tingkat Pengembalian di Pasar Modal Periode 2000 -2011 dengan Membandingkan Hasil Estimasi OLS, GLS dan MLE

open access: yesBinus Business Review, 2014
The factors in macroeconomic gives enormous influence on the fluctuation rate of return on stocks that is reflected in the stock price movement in the stock market.
Sari Minjari Damayanti
doaj   +1 more source

On the Least Median Square Problem [PDF]

open access: yesDiscrete & Computational Geometry, 2004
We consider the exact and approximate computational complexity of the multivariate least median-of-squares (LMS) linear regression estimator. The LMS estimator is among the most widely used robust linear statistical estimators. Given a set of n points in ${\Bbb R}^d$ and a parameter k, the problem is equivalent to computing the narrowest slab bounded ...
Jeff Erickson 0001   +2 more
openaire   +2 more sources

Local Moving Least Square - One-Dimensional IRBFN Technique: Part II- Unsteady Incompressible Viscous Flows [PDF]

open access: yes, 2012
In this study, local moving least square - one dimensional integrated radial basis function network (LMLS-1D-IRBFN) method is presented and demonstrated with the solution of time-dependent problems such as Burgers' equation, unsteady flow past a square ...
Ngo-Cong, D.   +7 more
core   +1 more source

Total least square clutter cancellation in passive radar

open access: yesThe Journal of Engineering, 2019
In this study, a total least square (TLS) based cancellation method is proposed for suppressing direct and multipath clutter signals in passive radar.
Haihuan Wang, Xiaoyong Lyu, Long Ma
doaj   +1 more source

Variable Samples Learning Least Square Support Vector Machine Algorithm [PDF]

open access: yesJisuanji gongcheng, 2019
In order to increase the sparseness of the solution of Least Squares Support Vector Machine (LS-SVM) algorithm and improve its operation efficiency,a variable samples learning LS-SVM algorithm is proposed.Some samples are randomly selected from the ...
JIA Erkenbieke,YUAN Jie
doaj   +1 more source

On the Least Trimmed Squares Estimator [PDF]

open access: yesAlgorithmica, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David M. Mount   +4 more
openaire   +2 more sources

Convergence of a Distributed Least Squares

open access: yesIEEE Transactions on Automatic Control, 2021
8 pages, published in IEEE Transactions on Automatic ...
Siyu Xie, Yaqi Zhang, Lei Guo 0001
openaire   +3 more sources

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