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中国地质文献-英文(48)
SpringerLink电子期刊(5628)
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在“
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命中:
5,628
条,耗时:0.1089468 秒
在所有数据库中总计命中:
21,485
条
1.
Validation and Applicability of Single
Kernel
-Based Cut Grain Dip
Method
for Amylose Determination in Rice
作者:
Ramadoss Bharathi Raja
;
Varadharaju Anusheela…
关键词:
Amylose content
;
Cut grain dip
method
;
High
;
performance size
;
exclusion chromatography
;
Rice
刊名:Food Analytical
Method
s
出版年:2017
2.
Constructing two powerful
method
s to solve the Thomas–Fermi equation
作者:
A. Akgül
;
M. S. Hashemi
;
M. Inc
;
S. A. Raheem
关键词:
SL(2
;
R)
;
shooting
method
;
Group preserving scheme
;
Reproducing
kernel
method
;
Thomas–Fermi equation
刊名:Nonlinear Dynamics
出版年:2017
3.
Chebyshev reproducing
kernel
method
: application to two-point boundary value problems
作者:
M Khaleghi
;
E Babolian
;
S Abbasbandy
关键词:
two
;
point boundary value problem
;
Dirichlet boundary conditions
;
polynomial reproducing
kernel
;
Chebyshev polynomials
;
convergence
;
error estimation
刊名:Advances in Difference Equations
出版年:2017
4.
A Gaussian-based
kernel
Fisher discriminant analysis for electronic nose data and applications in spirit and vinegar classification
作者:
Yong Yin
;
Yinfeng Hao
;
Yu Bai
;
Huichun Yu
关键词:
Electronic nose
;
Kernel
Fisher discriminant analysis
;
Kernel
parameter
;
White spirit
;
Vinegar
刊名:Journal of Food Measurement and Characterization
出版年:2017
5.
Large-scale image recognition based on parallel
kernel
supervised and semi-supervised subspace learning
作者:
Fei Wu
;
Xiao-Yuan Jing
;
Qian Liu
;
Song-Song Wu…
关键词:
Large
;
scale image recognition
;
Parallel
kernel
discriminant subspace learning framework
;
Random non
;
overlapping equal data division strategy
;
Subspace selection
;
Parallel
kernel
discriminant analysis (PKDA)
;
Parallel
kernel
semi
;
supervised discriminant analysis (PKSDA)
刊名:Neural Computing and Applications
出版年:2017
6.
FF-SKPCCA:
Kernel
probabilistic canonical correlation analysis
作者:
Reza Rohani Sarvestani
;
Reza Boostani
关键词:
Feature fusion
;
Canonical correlation analysis (CCA)
;
Probabilistic CCA
;
Kernel
CCA
刊名:Applied Intelligence
出版年:2017
7.
Von Neumann stability analysis of the
u
–
p
reproducing
kernel
formulation for saturated porous media
作者:
Sheng-Wei Chi
;
Thanakorn Siriaksorn
;
Shih-Po Lin
关键词:
von Neumann analysis
;
Reproducing
Kernel
;
\((u{
;
}p)\)
;
formulation
;
Saturated porous medium
刊名:Computational Mechanics
出版年:2017
8.
Sparse
kernel
canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data
作者:
Kosuke Yoshida
;
Junichiro Yoshimoto
;
Kenji Doya
关键词:
Kernel
canonical correlation analysis
;
Hilbert
;
Schmidt independent criterion
;
L1 regularization
刊名:BMC Bioinformatics
出版年:2017
9.
A remark on the Gaussian lower bound for the Neumann heat
kernel
of the Laplace–Beltrami operator
作者:
Mourad Choulli
;
Laurent Kayser
关键词:
Neumann heat
kernel
;
Laplace–Beltrami operator
;
Riemannian manifold
刊名:Semigroup Forum
出版年:2017
10.
An Effective Computational Model for Bankruptcy Prediction Using
Kernel
Extreme Learning Machine Approach
作者:
Dong Zhao
;
Chunyu Huang
;
Yan Wei
;
Fanhua Yu
;
Mingjing Wang…
关键词:
Kernel
extreme learning machine
;
Support vector machines
;
Bankruptcy prediction
刊名:Computational Economics
出版年:2017
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