FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2804206910> ?p ?o ?g. }

• W2804206910 endingPage "1" @default.
• W2804206910 startingPage "1" @default.
• W2804206910 abstract "Separable nonlinear least-squares (SNLLS) problems arise frequently in many research fields, such as system identification and machine learning. The variable projection (VP) method is a very powerful tool for solving such problems. In this paper, we consider the regularization of ill-conditioned SNLLS problems based on the VP method. Selecting an appropriate regularization parameter is difficult because of the nonlinear optimization procedure. We propose to determine the regularization parameter using the weighted generalized cross-validation method at every iteration. This makes the original objective function changing during the optimization procedure. To circumvent this problem, we use an inequation to produce a consistent demand of decreasing at successive iterations. The approximation of the Jacobian of the regularized problem is also discussed. The proposed regularized VP algorithm is tested by the parameter estimation problem of several statistical models. Numerical results demonstrate the effectiveness of the proposed algorithm." @default.
• W2804206910 created "2018-06-01" @default.
• W2804206910 creator A5002763479 @default.
• W2804206910 creator A5045171618 @default.
• W2804206910 creator A5047001937 @default.
• W2804206910 creator A5090216201 @default.
• W2804206910 date "2018-01-01" @default.
• W2804206910 modified "2023-09-26" @default.
• W2804206910 title "A Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares Problems" @default.
• W2804206910 cites W1523505889 @default.
• W2804206910 cites W1570089119 @default.
• W2804206910 cites W1603753160 @default.
• W2804206910 cites W1967150189 @default.
• W2804206910 cites W1992719146 @default.
• W2804206910 cites W1996971930 @default.
• W2804206910 cites W2011970434 @default.
• W2804206910 cites W2013321956 @default.
• W2804206910 cites W2015913833 @default.
• W2804206910 cites W2017387343 @default.
• W2804206910 cites W2018089423 @default.
• W2804206910 cites W2018496583 @default.
• W2804206910 cites W2018617609 @default.
• W2804206910 cites W2033117307 @default.
• W2804206910 cites W2053277578 @default.
• W2804206910 cites W2062669470 @default.
• W2804206910 cites W2063984680 @default.
• W2804206910 cites W2074221952 @default.
• W2804206910 cites W2086901931 @default.
• W2804206910 cites W2090636411 @default.
• W2804206910 cites W2114424556 @default.
• W2804206910 cites W2118291459 @default.
• W2804206910 cites W2124621092 @default.
• W2804206910 cites W2148352317 @default.
• W2804206910 cites W2157733332 @default.
• W2804206910 cites W2169886352 @default.
• W2804206910 cites W2208102852 @default.
• W2804206910 cites W2331434100 @default.
• W2804206910 cites W2494912892 @default.
• W2804206910 cites W251782979 @default.
• W2804206910 cites W2551181965 @default.
• W2804206910 cites W2569898071 @default.
• W2804206910 cites W2579665834 @default.
• W2804206910 cites W2739833408 @default.
• W2804206910 cites W2763015773 @default.
• W2804206910 cites W2963638855 @default.
• W2804206910 cites W3099438294 @default.
• W2804206910 cites W3104004098 @default.
• W2804206910 cites W3106058021 @default.
• W2804206910 cites W4246327874 @default.
• W2804206910 cites W4248122244 @default.
• W2804206910 doi "https://doi.org/10.1109/tac.2018.2838045" @default.
• W2804206910 hasPublicationYear "2018" @default.
• W2804206910 type Work @default.
• W2804206910 sameAs 2804206910 @default.
• W2804206910 citedByCount "21" @default.
• W2804206910 countsByYear W28042069102019 @default.
• W2804206910 countsByYear W28042069102020 @default.
• W2804206910 countsByYear W28042069102021 @default.
• W2804206910 countsByYear W28042069102022 @default.
• W2804206910 countsByYear W28042069102023 @default.
• W2804206910 crossrefType "journal-article" @default.
• W2804206910 hasAuthorship W2804206910A5002763479 @default.
• W2804206910 hasAuthorship W2804206910A5045171618 @default.
• W2804206910 hasAuthorship W2804206910A5047001937 @default.
• W2804206910 hasAuthorship W2804206910A5090216201 @default.
• W2804206910 hasConcept C105795698 @default.
• W2804206910 hasConcept C11413529 @default.
• W2804206910 hasConcept C119247159 @default.
• W2804206910 hasConcept C121332964 @default.
• W2804206910 hasConcept C126255220 @default.
• W2804206910 hasConcept C134306372 @default.
• W2804206910 hasConcept C137836250 @default.
• W2804206910 hasConcept C154945302 @default.
• W2804206910 hasConcept C158622935 @default.
• W2804206910 hasConcept C167928553 @default.
• W2804206910 hasConcept C185429906 @default.
• W2804206910 hasConcept C200331156 @default.
• W2804206910 hasConcept C2776135515 @default.
• W2804206910 hasConcept C28826006 @default.
• W2804206910 hasConcept C2983447341 @default.
• W2804206910 hasConcept C33923547 @default.
• W2804206910 hasConcept C41008148 @default.
• W2804206910 hasConcept C45923927 @default.
• W2804206910 hasConcept C57493831 @default.
• W2804206910 hasConcept C62520636 @default.
• W2804206910 hasConcept C67186912 @default.
• W2804206910 hasConcept C70710897 @default.
• W2804206910 hasConcept C77088390 @default.
• W2804206910 hasConcept C79610928 @default.
• W2804206910 hasConcept C9936470 @default.
• W2804206910 hasConceptScore W2804206910C105795698 @default.
• W2804206910 hasConceptScore W2804206910C11413529 @default.
• W2804206910 hasConceptScore W2804206910C119247159 @default.
• W2804206910 hasConceptScore W2804206910C121332964 @default.
• W2804206910 hasConceptScore W2804206910C126255220 @default.
• W2804206910 hasConceptScore W2804206910C134306372 @default.
• W2804206910 hasConceptScore W2804206910C137836250 @default.
• W2804206910 hasConceptScore W2804206910C154945302 @default.

• next