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CNKI期刊论文0611(2)
在“
Elsevier电子期刊
”中,
命中:
764
条,耗时:0.0229901 秒
在所有数据库中总计命中:
2,374
条
1.
An
expectation
-
maximization
algorithm
for query translation based on pseudo-relevant documents
作者:
Javid Dadashkarimi
a
;
dadashkarimi@ut.ac.ir
;
Azadeh Shakery
;
a
;
b
;
shakery@ut.ac.ir
;
Heshaam Faili
a
;
b
;
hfaili@ut.ac.ir
;
Hamed Zamani
1
;
c
;
zamani@cs.umass.edu
关键词:
Dictionary-based cross-language information retrieval
;
Query translation
;
Expectation
maximization
;
Pseudo-relevant documents
刊名:Information Processing & Management
出版年:2017
2.
Expectation
-
maximization
algorithm
for direct position determination
作者:
Elad Tzoreff
eladtzor@post.tau.ac.il
;
Anthony J. Weiss
;
ajw@eng.tau.ac.il
关键词:
Time of Arrival (TOA)
;
Expectation
Maximization
(EM)
;
Laplace Method
;
Direct Position Determination (DPD)
刊名:Signal Processing
出版年:2017
3.
A parameter selection method of the deterministic anti-annealing
algorithm
for network exploring
作者:
Bianfang Chai
a
;
c
;
chaibianfang@163.com
Author Vitae
;
Jinghong Wang
b
Author Vitae
;
Jian Yu
c
Author Vitae
关键词:
Mixture model
;
Community detection
;
Deterministic anti-annealing EM
algorithm
;
Convergence rate
;
Jacobian matrix
刊名:Neurocomputing
出版年:2017
4.
Noise covariance identification for nonlinear systems using
expectation
maximization
and moving horizon estimation
作者:
Ming Ge
a
;
ming.ge08@imperial.ac.uk
Author Vitae
;
Eric C. Kerrigan
b
;
e.kerrigan@imperial.ac.uk
Author Vitae
关键词:
Noise covariance estimation
;
Nonlinear system
;
Expectation
maximization
;
State estimation
;
Full information estimation
;
Moving horizon estimation
;
Extended Kalman filter
刊名:Automatica
出版年:2017
5.
Segmentation of clusters by template rotation
expectation
maximization
作者:
Carl-Magnus Svensson
;
a
;
carl-magnus.svensson@leibniz-hki.de
;
Karen Grace Bondoc
b
;
Georg Pohnert
b
;
Marc Thilo Figge
a
;
c
;
thilo.figge@leibniz-hki.de
关键词:
Segmentation
;
Generative model
;
Expectation
maximization
;
Template matching
刊名:Computer Vision and Image Understanding
出版年:2017
6.
MUSIC-Expected
maximization
gaussian mixture methodology for clustering and detection of task-related neuronal firing rates
作者:
Alexis Ortiz-Rosario
;
Ph.D. student
a
;
Hojjat Adeli
b
;
adeli.1@osu.edu" class="auth_mail" title="E-mail the corresponding author
(Dist. Member ASCE
;
Fellow IEEE
;
Fellow AAAS
;
Fellow American Neurological Assoc. Professor)
;
John A. Buford
c
(Associate Professor
;
Director)
关键词:
Multiple signal classification
;
Gaussian mixture model
;
Expectation
-
maximization
algorithm
;
Firing rate
;
Neurons
;
Signal processing
;
Empirical wavelet transform
刊名:Behavioural Brain Research
出版年:2017
7.
EM-based identification of continuous-time ARMA Models from irregularly sampled data
作者:
Fengwei Chen
a
;
b
;
c
;
fengwei.chen@outlook.com
Author Vitae
;
Juan C. Agü
;
ero
d
;
e
;
juan.aguero@usm.cl
Author Vitae
;
Marion Gilson
a
;
b
;
marion.gilson@univ-lorraine.fr
Author Vitae
;
Hugues Garnier
a
;
b
;
hugues.garnier@univ-lorraine.fr
Author Vitae
;
Tao Liu
c
;
tliu@dlut.edu.cn
Author Vitae
关键词:
Continuous-time ARMA model
;
Maximum-likelihood
;
Expectation
&ndash
;
maximization
;
Irregularly sampled data
刊名:Automatica
出版年:2017
8.
Model selection for Gaussian mixture model based on desirability level criterion
作者:
Weishi Peng
peng_weishi@163.com
关键词:
Gaussian mixture model
;
EM
algorithm
;
Model selection
;
Desirability level criterion
刊名:Optik - International Journal for Light and Electron Optics
出版年:2017
9.
On learning the visibility for joint importance sampling of low-order scattering
作者:
Guo Zhou
a
;
b
;
c
;
zhouguo@ict.ac.cn
Author Vitae
;
Dengming Zhu
a
;
b
Author Vitae
;
Ting Li
d
Author Vitae
;
Zhaoqi Wang
a
;
b
Author Vitae
;
Yongquan Zhou
e
Author Vitae
关键词:
Light transport simulation
;
Participating media
;
Online
expectation
-
maximization
;
Importance sampling
刊名:Neurocomputing
出版年:2017
10.
Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature
作者:
Valé
;
rie Monbet
a
;
valerie.monbet@univ-rennes1.fr
;
Pierre Ailliot
b
;
pierre.ailliot@univ-brest.fr
关键词:
Markov switching vector autoregressive process
;
Sparsity
;
Penalized likelihood
;
SCAD
;
EM
algorithm
;
Daily temperature
;
Stochastic weather generators
刊名:Computational Statistics & Data Analysis
出版年:2017
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