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Numerical Linear Algebra with Applications, ISSN 1070-5325, 08/2019, Volume 26, Issue 4, p. n/a
Journal Article
Neurocomputing, ISSN 0925-2312, 09/2014, Volume 140, pp. 41 - 52
Journal Article
Journal Article
Journal of Econometrics, ISSN 0304-4076, 03/2017, Volume 197, Issue 1, pp. 1 - 19
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2012, Volume 21, Issue 3, pp. 1061 - 1069
Journal Article
Journal of Computational Physics, ISSN 0021-9991, 03/2019, Volume 381, pp. 129 - 145
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 11/2015, Volume 25, Issue 11, pp. 1749 - 1760
Journal Article
Numerical Linear Algebra with Applications, ISSN 1070-5325, 10/2017, Volume 24, Issue 5, p. n/a
Summary It is well known that the standard algorithm for the mixed least squares–total least squares (MTLS) problem uses the QR factorization to reduce the... 
weighting factor | inverse and Rayleigh quotient iteration methods | weighted total least squares | mixed LS‐TLS | mixed LS-TLS | MATHEMATICS | MATHEMATICS, APPLIED | TO-B | COLUMNS | ERROR | Economic models | Weighting | Least squares method | Estimating techniques | Iterative methods | Factorization | Cholesky factorization | Singular value decomposition
Journal Article
Neurocomputing, ISSN 0925-2312, 2002, Volume 48, Issue 1, pp. 85 - 105
Least squares support vector machines (LS-SVM) is an SVM version which involves equality instead of inequality constraints and works with a least squares cost... 
Support vector machines | Ridge regression | Robust estimation | Sparse approximation | (Weighted) least squares | support vector machines | robust estimation | ridge regression | (weighted) least squares | sparse approximation | NETWORKS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | KERNELS
Journal Article
Eurasip Journal on Wireless Communications and Networking, ISSN 1687-1472, 2015, Volume 2015, Issue 1, pp. 1 - 7
Journal Article
2001, Artech House radar library., ISBN 1580531024, xi, 238
Book
Signal Processing, ISSN 0165-1684, 11/2013, Volume 93, Issue 11, pp. 2872 - 2878
The linear least squares (LLS) technique is widely used in time-difference-of-arrival based positioning because of its computational efficiency. Two-step... 
Time-difference-of-arrival | Weighted least squares | Source localization | Constrained optimization | PASSIVE LOCALIZATION | CLOSED-FORM | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms | Constraints | Least squares method | Mathematical models | Linear equations | Localization | Position (location) | Arrays
Journal Article