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内部出版物
CNKI会议论文(1)
CNKI学位论文(1678)
知网期刊论文(228)
在“
Elsevier电子期刊
”中,
命中:
46
条,耗时:0.063969 秒
在所有数据库中总计命中:
1,907
条
1.
CCEHC: An efficient local
search
algorithm for weighted partial maximum satisfiability
作者:
Chuan Luo
a
;
b
;
chuanluosaber@gmail.com
;
Shaowei Cai
c
;
shaoweicai.cs@gmail.com
;
Kaile Su
d
;
e
;
k.su@griffith.edu.au
;
Wenxuan Huang
f
;
key01027@mit.edu
关键词:
Local
search
;
Weighted partial maximum satisfiability
;
Emphasis on hard clauses
刊名:Artificial Intelligence
出版年:2017
2.
A robust and efficient stepwise regression method for building sparse polynomial chaos expansions
作者:
Simon Abraham
a
;
Simon.Abraham@ulb.ac.be
;
Mehrdad Raisee
b
;
Ghader Ghorbaniasl
a
;
Francesco Contino
a
;
Chris Lacor
a
关键词:
Uncertainty quantification
;
Regression-based polynomial chaos
;
Sparse polynomial chaos expansion
;
Least angle regression
;
Stepwise regression
刊名:Journal of Computational Physics
出版年:2017
3.
Bayesian
variable
selection
for finite mixture model of linear regressions
作者:
Kuo-Jung Lee
a
;
kjlee@stat.ncku.edu.tw" class="auth_mail" title="E-mail the corresponding author
;
Ray-Bing Chen
a
;
rbchen@stat.ncku.edu.tw" class="auth_mail" title="E-mail the corresponding author
;
Ying Nian Wu
b
;
ywu@stat.ucla.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Gibbs sampler
;
Median probability criterion
;
Sparsity
;
Stochastic
search
variable
selection
刊名:Computational Statistics & Data Analysis
出版年:2016
4.
Phylogeography, phylodynamics and transmission chains of bovine viral diarrhea virus subtype 1f in Northern Italy
作者:
Francesco Cerutti
a
;
francesco.cerutti@izsto.it
;
Camilla Luzzago
b
;
camilla.luzzago@unimi.it
;
Stefania Lauzi
b
;
stefania.lauzi@unimi.it
;
Erika Ebranati
c
;
erika.ebranati@unimi.it
;
Claudio Caruso
a
;
claudio.caruso@izsto.it
;
Loretta Masoero
a
;
loretta.masoero@izsto.it
;
Ana Moreno
d
;
anamaria.morenomartin@izsler.it
;
Pier Luigi Acutis
a
;
pierluigi.acutis@izsto.it
;
Gianguglielmo Zehender
c
;
gianguglielmo.zehender@unimi.it
;
Simone Peletto
a
;
simone.peletto@izsto.it
关键词:
UTR
;
untranslated region
;
PI
;
persistently infected
;
HPD
;
highest posterior density
;
ESS
;
effective sampling size
;
MCMC
;
Markov chain Monte Carlo
;
MCC
;
continuous-time Markov Chain
;
BSSVS
;
Bayesian
Stochastic
Search
Variable
Selection
;
tMRCA
;
time to the most recent common ancestor
;
pp
;
posterior probability
刊名:Infection, Genetics and Evolution
出版年:2016
5.
Bayesian model
selection
in ordinal quantile regression
作者:
Rahim Alhamzawi
ralhamzawi@yahoo.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Bayesian inference
;
MCMC
;
Quantile regression
;
Ordinal models
;
SSVS
刊名:Computational Statistics & Data Analysis
出版年:2016
6.
Hybrid kernel density estimation for discriminant analysis with information complexity and genetic algorithm
作者:
Seung H. Baek
a
;
sbaek4@hanyang.ac.kr" class="auth_mail" title="E-mail the corresponding author
;
Dong-Ho Park
b
;
Hamparsum Bozdogan
c
关键词:
Hybrid kernel density estimation approach
;
Bandwidth
selection
;
Information theoretic measure of complexity
;
Genetic algorithm
;
Model
selection
刊名:Knowledge-Based Systems
出版年:2016
7.
Durable consumption and asset returns: Cointegration analysis
作者:
Guojin Chen
a
;
b
;
c
;
Zhiwu Hong
a
;
b
;
Yu Ren
a
;
b
;
c
;
renxmu@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Durable consumption
;
Cointegration
;
Consumption asset pricing model
;
MCMC
刊名:Economic Modelling
出版年:2016
8.
Bayesian
variable
selection
under the proportional hazards mixed-effects model
作者:
Kyeong Eun Lee
a
;
Yongku Kim
a
;
Ronghui Xu
b
;
c
;
rxu@ucsd.edu" class="auth_mail
关键词:
Correlated survival data
;
MCMC
;
Model
selection
;
Multi-center clinical trial
;
Proportional hazards mixed-effects model
;
Stochastic
search
variable
selection
刊名:Computational Statistics and Data Analysis
出版年:July, 2014
9.
Characterising economic trends by Bayesian
stochastic
model specification
search
作者:
S. Grassi
;
T. Proietti
关键词:
Bayesian model
selection
;
Stationarity
;
Unit roots
;
Stochastic
trends
;
Variable
selection
刊名:Computational Statistics and Data Analysis
出版年:March, 2014
10.
Bayesian
variable
selection
in generalized linear models using a combination of
stochastic
optimization methods
作者:
D. Fouskakis
;
fouskakis@math.ntua.gr
关键词:
Bayesian
variable
selection
;
Genetic algorithm
;
Laplace approximation
;
Simulated annealing
;
Stochastic
optimization
;
Tabu
search
刊名:European Journal of Operational Re
search
出版年:2012
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