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在“
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”中,
命中:
4,232
条,耗时:0.1369336 秒
在所有数据库中总计命中:
8,607
条
1.
Evaluation of
Bayesian
source estimation
methods
with Prairie Grass observations and Gaussian plume model: A comparison of likelihood functions and distance measures
作者:
Yan Wang
a
;
Hong Huang
a
;
hhong@tsinghua.edu.cn
;
Lida Huang
a
;
Branko Ristic
b
关键词:
Bayesian
inference
;
Source estimation
;
Approximate
Bayesian
computation
;
Markov chain Monte Carlo
;
Sequential Monte Carlo
;
Prairie Grass field experiment
刊名:Atmospheric Environment
出版年:2017
2.
Comparative analysis of discretization
methods
in
Bayesian
networks
作者:
Farnaz Nojavan A.
a
;
b
;
farnaz.nojavan@duke.edu
;
Song S. Qian
c
;
Craig A. Stow
d
关键词:
Bayesian
networks
;
Discretization
;
Environmental modeling
;
Equal interval
;
Equal quantile
;
Moment matching
刊名:Environmental Modelling & Software
出版年:2017
3.
Fast sampling
methods
for
Bayesian
max-margin models
作者:
Wenbo Hu
hwb13@mails.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Jun Zhu
;
dcszj@mail.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Bo Zhang
dcszb@mail.tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
Inference
;
Stochastic MCMC
;
Subgradient MCMC
;
Bayesian
max-margin models
;
Approximate detailed balance
刊名:Expert Systems with Applications
出版年:2017
4.
Risk upper bounds for general ensemble
methods
with an application to multiclass classification
作者:
Franç
;
ois Laviolette
a
;
francois.laviolette@ift.ulaval.ca
Author Vitae
;
Emilie Morvant
b
;
emilie.morvant@univ-st-etienne.fr
Author Vitae
;
Liva Ralaivola
c
;
liva.ralaivola@lif.univ-mrs.fr
Author Vitae
;
Jean-Francis Roy
a
;
d
;
jfroy@coveo.com
Author Vitae
关键词:
Majority vote
;
Ensemble
methods
;
PAC-
Bayesian
Theory
;
Multiclass classification
;
Multilabel Prediction
刊名:Neurocomputing
出版年:2017
5.
Using
Bayesian
framework to calibrate a physically based model describing strain-stress behavior of TRIP steels
作者:
P. Honarmandi
;
hona107@tamu.edu
;
R. Arroyave
关键词:
TRIP Steels
;
Uncertainty quantification
;
Bayesian
methods
;
Metropolis-Hastings Markov Chain Monte Carlo
刊名:Computational Materials Science
出版年:2017
6.
Dynamic
Bayesian
wavelet transform: New methodology for extraction of repetitive transients
作者:
Dong Wang
;
dongwang4-c@my.cityu.edu.hk
;
Kwok-Leung Tsui
kltsui@cityu.edu.hk
关键词:
Bayesian
inference
;
Wavelet parameter distribution
;
Dynamic
Bayesian
wavelet transform
;
Repetitive transients
刊名:Mechanical Systems and Signal Processing
出版年:2017
7.
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
8.
Bayesian
network-based Virtual Machines consolidation method
作者:
Zhihua Li
a
;
zhli@jiangnan.edu.cn
Author Vitae
;
Chengyu Yan
a
Author Vitae
;
Xinrong Yu
a
Author Vitae
;
Ning Yu
b
Author Vitae
关键词:
Virtual Machines consolidation
;
Estimation model
;
Virtual Machine migration
;
Bayesian
network
刊名:Future Generation Computer Systems
出版年:2017
9.
A
Bayesian
analysis of the link between adult disorganized attachment and dissociative symptoms
作者:
Ramona L. Paetzold
a
;
rpaetzold@mays.tamu.edu
;
W. Steven Rholes
b
;
s-rholes@tamu.edu
;
Joel L. Andrus
a
;
jandrus@mays.tamu.edu
关键词:
Disorganized attachment
;
Dissociation
;
Attachment theory
;
Bayesian
methods
刊名:Personality and Individual Differences
出版年:2017
10.
Bayesian
robust principal component analysis with structured sparse component
作者:
Ningning Han
a
;
ning_ninghan@tju.edu.cn
;
Yumeng Song
b
;
YumengSong@tju.edu.cn
;
Zhanjie Song
a
;
c
;
zhanjiesong@tju.edu.cn
关键词:
Robust principal component analysis
;
Low-rank component
;
Structured sparse component
;
Variational
Bayesian
inference
;
Structured sparsity
刊名:Computational Statistics & Data Analysis
出版年:2017
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