Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 228,179,401 papers from all fields of science
Search
Sign In
Create Free Account
Regularized least squares
Regularized least squares (RLS) is a family of methods for solving the least-squares problem while using regularization to further constrain the…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
16 relations
Convex optimization
Elastic net regularization
Generalization error
Hilbert space
Expand
Broader (2)
Estimation theory
Linear algebra
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification
Lei Zhang
,
Di Wang
,
Xiaoqin Zhang
,
N. Gu
,
Mingyu Fan
International Conference on Information Photonics
2018
Corpus ID: 52191946
Graph based Semi-Supervised Learning (G-SSL) methods usually include the stages of the construction of affinity matrix and the…
Expand
2015
2015
KRLS: Stata module to perform Kernel–Based Regularized Least Squares
Jeremy Ferwerda
,
Jens Hainmueller
,
C. Hazlett
2015
Corpus ID: 120511617
krls implements Kernel-Based Regularized Least Squares (KRLS), a machine learning method described in Hainmueller and Hazlett…
Expand
2013
2013
Kernel Regularized Least Squares : Moving Beyond Linearity and Additivity Without Sacrificing Interpretability
Jens Hainmueller
2013
Corpus ID: 33988371
We propose the use of Kernel Regularized Least Squares (KRLS) for social science modeling and inference problems. KRLS borrows…
Expand
2011
2011
Classification multi-classes au prix d'un classifieur binaire
Zineb Noumir
,
P. Honeine
,
C. Richard
2011
Corpus ID: 18292563
Cet article traite du probleme de classification multi-classe en reconnaissance des formes. La resolution de ce type de problemes…
Expand
2010
2010
Semi-Supervised SAR Target Recognition Based on Laplacian Regularized Least Squares Classification
Zhang Xiang
2010
Corpus ID: 63395571
A Synthetic Aperture Radar (SAR) target recognition approach based on KPCA (kernel principal component analysis) and Laplacian…
Expand
2009
2009
Regularized Least Squares : A Useful ( Forgotten ) Tool for Supervised and Semi-Supervised Learning
S. Gadsden
,
Dhafar Mohammed
,
M. Al-Shabi
2009
Corpus ID: 16867855
This paper discusses the undervalued importance of Regularized Least Squares, and its continued usefulness in solving supervised…
Expand
2006
2006
Regularized Least Squares Potential SVRs
Senior Member
,
A. K. Deb
,
Reshma Khemchandani
,
Suresh Chandra
Annual IEEE India Conference
2006
Corpus ID: 34450310
In this paper, we propose a regularized least squares approach to potential SVRs. The proposed solution involves inverting a…
Expand
2005
2005
Stability Analysis for Regularized Least Squares Regression
C. Rudin
arXiv.org
2005
Corpus ID: 1191
We discuss stability for a class of learning algorithms with respect to noisy labels. The algorithms we consider are for…
Expand
2005
2005
Asymptotics of Gaussian Regularized Least Squares
R. Lippert
,
R. Rifkin
Neural Information Processing Systems
2005
Corpus ID: 908861
We consider regularized least-squares (RLS) with a Gaussian kernel. We prove that if we let the Gaussian bandwidth σ → ∞ while…
Expand
Review
2004
Review
2004
Applications of Regularized Least Squares to Classification Problems
N. Cesa-Bianchi
International Conference on Algorithmic Learning…
2004
Corpus ID: 15652611
We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE