Results 31 to 40 of about 10,735,998 (316)
Robust linear least squares regression [PDF]
, 2011 We consider the problem of robustly predicting as well as the best linear combination of $d$ given functions in least squares regression, and variants of this problem including constraints on the parameters of the linear combination.
Audibert, Jean-Yves, Catoni, Olivier
core +6 more sources
Research on linear regression algorithm [PDF]
MATEC Web of ConferencesLinear regression is one of the most widely used predictive models in statistics and machine learning. This paper aims to comprehensively discuss the theoretical basis, mathematical principle and application of linear regression algorithm in various ...
Qu Kecheng
doaj +1 more source
Bayesian linear regression for surface roughness prediction
, 2020 To improve the prediction accuracy of surface roughness in milling process, this paper provides an unique feature extraction method and comprehensively analyzes four types of Bayesian linear regression (BLR) model (Standard_BLR, Gaussian_BLR ...
Dongdong Kong +4 more
semanticscholar +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Previous work in machine learning and statistics commonly focuses on building models that capture the vast majority of data, possibly ignoring a segment of the population as outliers. By contrast, we may be interested in finding a segment of the population for which we can find a linear rule capable of achieving more accurate ...
Diego Calderon +3 more
openaire +5 more sources
An improved quantum-inspired algorithm for linear regression [PDF]
Quantum, 2022 We give a classical algorithm for linear regression analogous to the quantum matrix inversion algorithm [Harrow, Hassidim, and Lloyd, Physical Review Letters'09] for low-rank matrices [Wossnig, Zhao, and Prakash, Physical Review Letters'18], when the ...
András Gilyén, Zhao Song, Ewin Tang
doaj +1 more source
Linear Regression Based Real-Time Filtering
Advances in Electrical and Electronic Engineering, 2013 This paper introduces real time filtering method based on linear least squares fitted line. Method can be used in case that a filtered signal is linear. This constraint narrows a band of potential applications.
Misel Batmend, Daniela Perdukova
doaj +1 more source
Privacy-preserving Linear Regression Scheme and Its Application [PDF]
Jisuanji kexue, 2022 Linear regression is an important and widely used machine learning algorithm.The training of linear regression model usually depends on a large amount of data.In reality,the data set is generally held by different users and contains their privacy ...
LYU You, WU Wen-yuan
doaj +1 more source
Building energy performance forecasting: A multiple linear regression approach
Applied Energy, 2019 Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches.
G. Ciulla, A. D’Amico
semanticscholar +1 more source
Efficient Algorithms and Lower Bounds for Robust Linear Regression [PDF]
ACM-SIAM Symposium on Discrete Algorithms, 2018 We study the problem of high-dimensional linear regression in a robust model where an $\epsilon$-fraction of the samples can be adversarially corrupted. We focus on the fundamental setting where the covariates of the uncorrupted samples are drawn from a ...
Ilias Diakonikolas +2 more
semanticscholar +1 more source
On Optimal Interpolation In Linear Regression
CoRR, 2021 25 pages, 7 figures, to appear in NeurIPS ...
Oravkin, E, Rebeschini, P
openaire +4 more sources