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内部出版物
Wiley电子期刊(5)
ProQuest学位论文(6)
ACS电子期刊(2)
SpringerLink电子期刊(216)
Elsevier电子期刊(58)
在“
Elsevier电子期刊
”中,
命中:
58
条,耗时:小于0.01 秒
在所有数据库中总计命中:
287
条
1.
A semantic-grained perspective of
latent
knowledge modeling
作者:
Paola Della Rocca
a
;
Sabrina Senatore
;
a
;
ssenatore@unisa.it
;
Vincenzo Loia
b
关键词:
Knowledge structuring
;
Latent
Dirichlet
Allocation
(
LDA
)
;
Latent
Semantic Analysis (LSA)
;
Concept extraction
;
Ontology
;
SKOS
刊名:Information Fusion
出版年:2017
2.
Towards comprehending the non-functional requirements through Developers’ eyes: An exploration of Stack Overflow using topic analysis
作者:
Jie Zou
b
;
Ling Xu
a
;
b
;
xuling@cqu.edu.cn
;
Mengning Yang
b
;
Xiaohong Zhang
b
;
Dan Yang
b
关键词:
Non-functional requirements (NFRs)
;
Topic model
;
Latent
Dirichlet
allocation
(
LDA
)
;
Stack Overflow
刊名:Information and Software Technology
出版年:2017
3.
Big data and semantics management system for computer networks
作者:
Bassem Mokhtar
a
;
bmokhtar@alexu.edu.eg
Author Vitae
;
Mohamed Eltoweissy
b
;
1
Author Vitae
关键词:
Network management
;
Big data
;
Bio-inspired design
;
Semantics reasoning
;
Pattern learning
;
Hybrid intelligence
刊名:Ad Hoc Networks
出版年:2017
4.
Firms' knowledge profiles: Mapping patent data with unsupervised learning
作者:
Arho Suominen
a
;
b
;
arho.suominen@vtt.fi
Author Vitae
;
Hannes Toivanen
a
;
b
;
c
;
hannes.toivanen@teqmine.com
Author Vitae
;
Marko Seppä
;
nen
d
;
marko.seppanen@tut.fi
Author Vitae
关键词:
Technology management
;
Patent analysis
;
Unsupervised learning
;
Topic modelling
;
Telecommunication industry
刊名:Technological Forecasting and Social Change
出版年:2017
5.
Topic detection and tracking for conversational content by using conceptual dynamic
latent
Dirichlet
allocation
作者:
Jui-Feng Yeh
;
ralph@mail.ncyu.edu.tw" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Yi-Shan Tan
;
Chen-Hsien Lee
关键词:
Latent
Dirichlet
allocation
;
Hypernym
;
Speech act
;
Spoken language understanding
;
Topic detection and tracking
刊名:Neurocomputing
出版年:2016
6.
Group-based
Latent
Dirichlet
Allocation
(Group-
LDA
): Effective audience detection for books in online social media
作者:
Peng Zhang
a
;
b
;
zhpll@126.com" class="auth_mail" title="E-mail the corresponding author
;
Hansu Gu
;
c
;
guhansu@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Mike Gartrell
d
;
Tun Lu
;
a
;
b
;
lutun@fudan.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Dayi Yang
a
;
b
;
Xianghua Ding
a
;
b
;
Ning Gu
a
;
b
关键词:
Social media
;
Book recommendation and marketing
;
Audience detection
;
Group-
LDA
刊名:Knowledge-Based Systems
出版年:2016
7.
PT-
LDA
: A
latent
variable model to predict personality traits of social network users
作者:
Yezheng Liu
a
;
b
Author Vitae
;
Jiajia Wang
a
;
b
Author Vitae
;
Yuanchun Jiang
a
;
b
;
ycjiang@hfut.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Latent
dirichlet
allocation
;
Personality recognition
;
Personality-specific topic
;
Social network
;
Mixture model
刊名:Neurocomputing
出版年:2016
8.
Reducing explicit semantic representation vectors using
Latent
Dirichlet
Allocation
作者:
Abdulgabbar Saif
;
agmss79@siswa.ukm.edu.my" class="auth_mail" title="E-mail the corresponding author
;
Mohd Juzaiddin Ab Aziz
juzaiddin@ukm.edu.my" class="auth_mail" title="E-mail the corresponding author
;
Nazlia Omar
nazlia@ukm.edu.my" class="auth_mail" title="E-mail the corresponding author
关键词:
Semantic representation
;
Explicit Semantic Analysis
;
Topic modeling
;
Knowledge-based method
刊名:Knowledge-Based Systems
出版年:2016
9.
Collective motion pattern inference via Locally Consistent
Latent
Dirichlet
Allocation
作者:
Jialing Zou
a
Author Vitae
;
Qixiang Ye
a
Author Vitae
;
Yanting Cui
a
Author Vitae
;
Fang Wan
a
Author Vitae
;
Kun Fu
b
Author Vitae
;
Jianbin Jiao
a
;
jiaojb@ucas.ac.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Collective motion
;
Local motion pattern
;
Topic model
;
Trajectory clustering
刊名:Neurocomputing
出版年:2016
10.
Latent
Dirichlet
allocation
for linking user-generated content and e-commerce data
作者:
Susana Zoghbi
;
susana.zoghbi@cs.kuleuven.be" class="auth_mail" title="E-mail the corresponding author
;
susana.zoghbi@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Ivan Vulić
;
Marie-Francine Moens
关键词:
Multi-idiomatic text processing
;
Probabilistic topic models
;
Linking and recommendation
;
IR For e-commerce
;
Pinterest data
;
Amazon data
刊名:Information Sciences
出版年:2016
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