Results 231 to 240 of about 3,198,692 (262)
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A Bayesian Alternative to Least Squares and Equal Weighting Coefficients in Regression

Psychometrika, 1979
This paper details a Bayesian alternative to the use of least squares and equal weighting coefficients in regression. An equal weight prior distribution for the linear regression parameters is described with regard to the conditional normal regression model, and resulting posterior distributions for these parameters are detailed.
openaire   +2 more sources

Weighted least squares fitting using ordinary least squares algorithms

open access: yesPsychometrika, 1997
weighted least squares, alternating least squares, missing data, algorithms, majorization, matrix approximation, maximum likelihood estimation,
Kiers, Henk A.L.   +2 more
exaly   +2 more sources

Multivariate weighted least squares as an alternative to the determinant criterion for multiresponse parameter estimation

2003
Box and Draper's [ 1 ] determinant criterion for multiresponse parameter estimation is commonly used in preference to ordinary least squares when the measurement error covariance matrix is unknown. Phillips [ 2 ] has shown that the determinant criterion is numerically equivalent to an iterated generalized least squares scheme. From this equivalence, it
P.W. Oxby, T.A. Duever, P.M. Reilly
openaire   +1 more source

Recommender engine using cosine similarity based on alternating least square-weight regularization

2017 15th International Conference on Quality in Research (QiR) : International Symposium on Electrical and Computer Engineering, 2017
By the growth of digital data which leads to more complex demands from user to find the information or items. Search engines solve most of the problems but have the drawback, it depends on the query/term that the user enter. The problem appears when the user forget or does not know the query that associated with the items. The Recommendation comes as a
Indah SurvyanaWahyudi   +2 more
openaire   +1 more source

Alternately Guided Depth Super-resolution Using Weighted Least Squares and Zero-order Reverse Filtering

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Due to the structural inconsistency between color and depth, texture copying and edge blurring artifacts appear in color-guided depth super-resolution. In this paper, we propose alternately guided depth super-resolution using weighted least squares (WLS) and zero-order reverse filtering.
Kailong Zhou, Shengtao Yu, Cheolkon Jung
openaire   +2 more sources

Weighted Total Least Squares with Constraints: Alternative Derivation without Using Lagrange Multipliers

Journal of Surveying Engineering, 2018
AbstractThis technical note presents alternative derivations for the weighted total least-squares (WTLS) problem subject to weighted and hard constraints.
openaire   +1 more source

Alternating Least Squares Algorithms for Simultaneous Components Analysis with Equal Component Weight Matrices in Two or More Populations

Psychometrika, 1989
Millsap and Meredith (1988) have developed a generalization of principal components analysis for the simultaneous analysis of a number of variables observed in several populations or on several occasions. The algorithm they provide has some disadvantages.
Kiers, Henk A.L., ten Berge, Jos M.F.
openaire   +1 more source

Collaborative Filtering Recommendation Algorithm Based on Element-Wise Alternating Least Squares and Time Weight

2019
Aiming at the problem of lack of time information in traditional collaborative filtering recommendation algorithm, the dynamic characteristics of user preference drift over time are analyzed. An improved scheme of collaborative filtering algorithm based on time characteristic is proposed.
Shu Jianhua, Wang Dong, Xue Feng
openaire   +1 more source

An Alternative Approach to Standard Decade Series Linear Regression Dissemination of the Mass Unit by using a Weighted Least Squares Analysis

NCSLI Measure, 2008
A brief review of current practices in dissemination of the unit of mass is discussed focusing on the strengths and weakness of current practice.
D. Dikken, C. Geppert, S.M. Lee
openaire   +1 more source

SinCWIm: An imputation method for single-cell RNA sequence dropouts using weighted alternating least squares

Computers in Biology and Medicine
Single-cell RNA sequencing (scRNA-seq) provides a powerful tool for exploring cellular heterogeneity, discovering novel or rare cell types, distinguishing between tissue-specific cellular composition, and understanding cell differentiation during development.
Lejun Gong   +4 more
openaire   +3 more sources

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