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在“
Elsevier电子期刊
”中,
命中:
490
条,耗时:0.0149913 秒
在所有数据库中总计命中:
1,151
条
1.
Efficient
sampling
in materials simulation - Exploring the parameter space of grain boundaries
作者:
Holger Dette
a
;
Josua Gö
;
smann
a
;
Christian Greiff
a
;
Rebecca Janisch
b
;
rebecca.janisch@rub.de
关键词:
Sequential
sampling
;
Design of experiment
;
Grain boundary energy
;
Atomistic simulations
;
High-throughput methods
刊名:Acta Materialia
出版年:2017
2.
Sparse Bayesian dictionary learning with a Gaussian
hierarchical
model
作者:
Linxiao Yang
a
;
Jun Fang
a
;
JunFang@uestc.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
201321190224@std.uestc.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Hong Cheng
b
;
hcheng@uestc.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Hongbin Li
c
;
Hongbin.Li@stevens.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Dictionary learning
;
Gaussian-inverse Gamma prior
;
Variational Bayesian
;
Gibbs
sampling
刊名:Signal Processing
出版年:2017
3.
Nonlinear calibration transfer based on
hierarchical
Bayesian models and Lagrange Multipliers: Error bounds of estimates via Monte Carlo - Markov Chain
sampling
作者:
Felicia Seichter
a
;
Josef Vogt
b
;
josef.vogt@uni-ulm.de
;
Peter Radermacher
b
;
Boris Mizaikoff
a
;
boris.mizaikoff@uni-ulm.de
;
关键词:
Calibration transfer
;
Lagrange Multipliers
;
Fluorescence
;
Hierarchical
models
;
Oxygen sensor
;
Bayesian statistics
刊名:Analytica Chimica Acta
出版年:2017
4.
On unbalanced group sizes in cluster randomized designs using balanced ranked set
sampling
作者:
Soohyun Ahn
a
;
soohyun63.ahn@samsung.com
;
Xinlei Wang
b
;
swang@mail.smu.edu
;
Johan Lim
c
;
johanlim@snu.ac.kr
关键词:
Hierarchical
linear models
;
Treatment effect
;
Pivotal test
;
Pooled variance estimator
;
Unbalanced groups
刊名:Statistics & Probability Letters
出版年:2017
5.
Change-point of multiple biomarkers in women with ovarian cancer
作者:
Iné
;
s P. Mariñ
;
o
a
;
b
;
1
;
ines.perez@urjc.es
;
Oleg Blyuss
b
;
1
;
Andy Ryan
b
;
Aleksandra Gentry-Maharaj
b
;
John F. Timms
b
;
Anne Dawnay
c
;
Jatinderpal Kalsi
b
;
Ian Jacobs
b
;
d
;
Usha Menon
b
;
2
;
Alexey Zaikin
b
;
2
关键词:
Ovarian cancer
;
Gibbs
sampling
;
Change-point detection
;
Bayesian estimation
刊名:Biomedical Signal Processing and Control
出版年:2017
6.
Coral benchmarks in the center of biodiversity
作者:
W.Y. Licuanan
a
;
b
;
wilfredo.licuanan@dlsu.edu.ph
;
R. Robles
a
;
M. Dygico
c
;
A. Songco
d
;
R. van Woesik
e
关键词:
Benchmarks
;
Hard coral cover
;
Generic diversity
;
Philippines
;
Hierarchical
sampling
刊名:Marine Pollution Bulletin
出版年:2017
7.
Gas turbine engine prognostics using Bayesian
hierarchical
models: A variational approach
作者:
Martha A. Zaidan
;
martha.a.zaidan@gmail.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Andrew R. Mills
;
Robert F. Harrison
;
Peter J. Fleming
关键词:
Condition-based monitoring
;
Gas turbine engine
;
Prognostics
;
Bayesian
hierarchical
model
;
Variational Bayes
刊名:Mechanical Systems and Signal Processing
出版年:2016
8.
Multi-Level Dense Descriptor and
Hierarchical
Feature Matching for Copy-Move Forgery Detection
作者:
Xiuli Bi
yb47429@umac.mo" class="auth_mail" title="E-mail the corresponding author
;
Chi-Man Pun
;
cmpun@umac.mo" class="auth_mail" title="E-mail the corresponding author
;
Xiao-Chen Yuan
xiaochen_yuan@ieee.org" class="auth_mail" title="E-mail the corresponding author
关键词:
Copy&ndash
;
Move Forgery Detection (CMFD)
;
Multi-Level Dense Descriptor (MLDD)
;
Hierarchical
Feature Matching
;
Color Texture Descriptor
;
Invariant Moment Descriptor
刊名:Information Sciences
出版年:2016
9.
A
hierarchical
model for integrating unsupervised generative embedding and empirical Bayes
作者:
Sudhir Raman
a
;
ssudhir@ethz.ch" class="auth_mail" title="E-mail the corresponding author
;
Lorenz Deserno
b
;
c
;
d
;
Florian Schlagenhauf
b
;
c
;
Klaas Enno Stephan
a
;
e
;
f
关键词:
Clustering
;
Dynamic causal modelling
;
DCM
;
Markov chain Monte Carlo
sampling
;
MCMC
;
Mixture model
;
Psychiatric spectrum diseases
;
Schizophrenia
刊名:Journal of Neuroscience Methods
出版年:2016
10.
Sampling
-based causal inference in cue combination and its neural implementation
作者:
Zhaofei Yu
a
Author Vitae
;
Feng Chen
a
;
b
;
chenfeng@mail.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Jianwu Dong
a
Author Vitae
;
Qionghai Dai
a
Author Vitae
关键词:
Causal inference
;
Importance
sampling
;
Cue combination
;
Neural circuit
刊名:Neurocomputing
出版年:2016
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