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CNKI期刊论文0611(10)
在“
Elsevier电子期刊
”中,
命中:
312
条,耗时:0.1659213 秒
在所有数据库中总计命中:
4,652
条
1.
Version-sensitive mobile App recommendation
作者:
Da Cao
a
;
dcao@stu.xmu.edu.cn
;
Liqiang Nie
b
;
nieliqiang@gmail.com
;
Xiangnan He
c
;
xiangnan@comp.nus.edu.sg
;
Xiaochi Wei
d
;
wxchi@bit.edu.cn
;
Jialie Shen
e
;
jlshen@smu.edu.sg
;
Shunxiang Wu
;
a
;
sxwu@xmu.edu.cn
;
Tat-Seng Chua
c
;
dcscts@nus.edu.sg
关键词:
Mobile App recommendation
;
Version progression
;
Data
sparsity
problem
;
Cold-start
problem
;
Plug-in component
;
Online environment
刊名:Information Sciences
出版年:2017
2.
KerMinSVM for imbalanced
data
sets with a case study on arabic comics classification
作者:
Ammar Nayal
axn01@aub.edu.lb
;
Hadi Jomaa
hsj04@aub.edu.lb
;
Mariette Awad
;
mariette.awad@aub.edu.lb
关键词:
Imbalance
data
sets
;
Support vector machines
;
Arabic comics analysis
;
Natural language processing
;
Supervised classification
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
3.
Investigating the role of the rating prediction task in granularity-based group recommender systems and big
data
scenarios
作者:
Ludovico Boratto
;
ludovico.boratto@acm.org" class="auth_mail" title="E-mail the corresponding author
;
Salvatore Carta
salvatore@unica.it" class="auth_mail" title="E-mail the corresponding author
;
Gianni Fenu
fenu@unica.it" class="auth_mail" title="E-mail the corresponding author
关键词:
Group recommendation
;
Clustering
;
Rating prediction
;
Big
data
刊名:Information Sciences
出版年:2017
4.
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit
data
作者:
Maryam Khanian Najafabadi
;
knmaryam2@live.utm.my
;
maryam64266@yahoo.com
;
Mohd Naz'ri Mahrin
;
Suriayati Chuprat
;
Haslina Md Sarkan
关键词:
Recommender systems
;
Collaborative filtering
;
Sparsity
problem
;
Association rules mining
;
Clustering
;
Implicit feedback
刊名:Computers in Human Behavior
出版年:2017
5.
Pairing support vector algorithm for
data
regression
作者:
Pei-Yi Hao
;
haupy@cc.kuas.edu.tw
Author Vitae
关键词:
Support vector regression
;
Twin support vector regression
;
Noise heteroscedastic model
;
Parametric insensitive model
;
Nonparallel functions
;
Sparse regression
刊名:Neurocomputing
出版年:2017
6.
Sparse clustering of functional
data
作者:
Davide Floriello
a
;
davide.floriello@axopower.it
;
Valeria Vitelli
b
;
valeria.vitelli@medisin.uio.no
关键词:
62G05
;
62H99
;
62M10
刊名:Journal of Multivariate Analysis
出版年:2017
7.
Bayesian EEG source localization using a structured
sparsity
prior
作者:
Facundo Costa
;
a
;
facundo.costa@enseeiht.fr
;
Hadj Batatia
a
;
Thomas Oberlin
a
;
Carlos D'Giano
b
;
Jean-Yves Tourneret
a
关键词:
EEG
;
MCMC
;
Inverse
problem
;
Source localization
;
Structured-
sparsity
;
Hierarchical Bayesian model
;
ℓ
20 norm regularization
;
Medical imaging
刊名:NeuroImage
出版年:2017
8.
Disjoint
sparsity
for signal separation and applications to hybrid inverse
problem
s in medical imaging
作者:
Giovanni S. Alberti
giovanni.alberti@ens.fr
;
Habib Ammari
;
habib.ammari@ens.fr
关键词:
35R30
;
65N21
;
65T60
;
68U10
刊名:Applied and Computational Harmonic Analysis
出版年:2017
9.
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
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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