Results 171 to 180 of about 54,917 (203)
Some of the next articles are maybe not open access.
Redundancies in Positive-Semidefinite Quadratic Programming
Journal of Optimization Theory and Applications, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Positive Semidefinite Matrices
1999This chapter studies the positive semidefinite matrices, concentrating primarily on the inequalities of this type of matrix. The main goal is to present the fundamental results and show some often-used techniques. Section 7.1 gives the basic properties, Section 7.2 treats the L¨owner partial ordering of positive semidefinite matrices, and Section 7.3 ...
openaire +1 more source
Neural Computation, 2009
The correlation matrix is a fundamental statistic that used in many fields. For example, GroupLens, a collaborative filtering system, uses the correlation between users for predictive purposes. Since the correlation is a natural similarity measure between users, the correlation matrix may be used as the Gram matrix in kernel methods.
openaire +2 more sources
The correlation matrix is a fundamental statistic that used in many fields. For example, GroupLens, a collaborative filtering system, uses the correlation between users for predictive purposes. Since the correlation is a natural similarity measure between users, the correlation matrix may be used as the Gram matrix in kernel methods.
openaire +2 more sources
Transformation of non positive semidefinite correlation matrices
Communications in Statistics - Theory and Methods, 1993In multivariate statistics, estimation of the covariance or correlation matrix is of crucial importance. Computational and other arguments often lead to the use of coordinate-dependent estimators, yielding matrices that are symmetric but not positive semidefinite.
Rousseeuw, Peter, Molenberghs, Geert
openaire +2 more sources
Toeplitz determinants and positive semidefiniteness
IEEE Transactions on Signal Processing, 1991The role that the determinants of real, symmetric, Toeplitz matrices play in testing for their positive semidefiniteness is discussed. It is shown that the leading principal minor test is not sufficient in general to test for the positive semidifiniteness of Toepliz matrices, except in certain cases.
openaire +1 more source
Positive Semidefinite Maps on $$*$$-Semigroupoids and Linearisations
Integral Equations and Operator TheoryzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aurelian Gheondea, Bogdan Udrea
openaire +1 more source
Evolving standards of care and new challenges in the management of HER2‐positive breast cancer
Ca-A Cancer Journal for Clinicians, 2020Grace M Choong +2 more
exaly