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命中:
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条,耗时:0.0159868 秒
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条
1.
Robust low-
rank
data matrix
approximation
s
作者:
XingDong Feng
;
XuMing He
关键词:
dimension reduction
;
low
;
rank
M ;
estimator
;
regression
;
robust estimator
;
singular value decomposition
刊名:Science China Mathematics
出版年:2017
2.
Minimal polynomial and reduced
rank
extrapolation methods are related
作者:
Avram Sidi
关键词:
Vector extrapolation methods
;
Minimal polynomial extrapolation (MPE)
;
Reduced
rank
extrapolation (RRE)
;
Krylov subspace methods
;
Method of Arnoldi
;
Method of generalized minimal residuals
;
GMRES
刊名:Advances in Computational Mathematics
出版年:2017
3.
Low-
rank
updates of balanced incomplete factorization preconditioners
作者:
J. Cerdán
;
J. Marín
;
J. Mas
关键词:
Iterative methods
;
Preconditioning
;
Low
rank
update
;
Balanced incomplete factorization
;
Sparse linear systems
刊名:Numerical Algorithms
出版年:2017
4.
Exact
p
-values for pairwise comparison of Friedman
rank
sums, with application to comparing classifiers
作者:
Rob Eisinga
;
Tom Heskes
;
Ben Pelzer
;
Manfred Te Grotenhuis
关键词:
Friedman test
;
Exact p
;
value
;
Rank
sum difference
;
Multiple comparison
;
Nonparametric statistics
;
Classifier comparison
;
Machine learning
刊名:BMC Bioinformatics
出版年:2017
5.
Some results on deformations of sections of vector bundles
作者:
Abel Castorena
;
Gian Pietro Pirola
关键词:
Continuous
rank
;
Paracanonical system
;
Semi
;
regular divisor
;
Vanishing theorems
刊名:Collectanea Mathematica
出版年:2017
6.
Tractability of the
Approximation
of High-Dimensional
Rank
One Tensors
作者:
Erich Novak
;
Daniel Rudolf
关键词:
High
;
dimensional
approximation
;
Rank
one tensors
;
Tractability
;
Curse of dimensionality
;
Dispersion
;
Primary
;
65Y20
;
Secondary
;
41A25
;
41A63
;
65C05
刊名:Constructive
Approximation
出版年:2016
7.
Penalised spline estimation for generalised partially linear single-index models
作者:
Yan Yu
;
Chaojiang Wu
;
Yuankun Zhang
关键词:
Generalised linear model
;
Generalised additive model
;
Low
rank
approximation
;
Penalised splines
;
Profile likelihood
刊名:Statistics and Computing
出版年:2017
8.
Efficient Sparse
Approximation
of Support Vector Machines Solving a Kernel Lasso
关键词:
SVMs
;
Kernel methods
;
Sparse
approximation
;
Lasso
刊名:Lecture Notes in Computer Science
出版年:2017
9.
Null space correction and adaptive model order reduction in multi-frequency Maxwell’s problem
作者:
Michal Kordy
;
Elena Cherkaev
;
Philip Wannamaker
关键词:
Rational Krylov subspace
;
Model order reduction
;
Helmholtz decomposition
;
Frequency
;
domain Maxwell’s system
刊名:Advances in Computational Mathematics
出版年:2017
10.
A Quadratically Convergent Algorithm for Structured Low-
Rank
Approximation
作者:
Éric Schost
;
Pierre-Jean Spaenlehauer
关键词:
Structured Low
;
Rank
Approximation
;
Newton iteration
;
Quadratic convergence
;
Approximate GCD
;
Matrix completion
刊名:Foundations of Computational Mathematics
出版年:2016
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