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在“
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”中,
命中:
27,464
条,耗时:0.2088956 秒
在所有数据库中总计命中:
57,734
条
1.
Attribute-based Decision Graphs: A framework for multiclass
data
classification
作者:
Joã
;
o Roberto Bertini Junior
a
;
bertini@ft.unicamp.br
;
Maria do Carmo Nicoletti
a
;
b
;
carmo@dc.ufscar.br
;
Liang Zhao
c
;
zhao@usp.br
关键词:
Data
-graph construction
;
Graph-based
classification
;
Multiclass
classification
;
Attribute-based Decision Graphs
;
Missing attribute values
刊名:Neural Networks
出版年:2017
2.
Multi-source remotely sensed
data
fusion for improving land cover
classification
作者:
Bin Chen
a
;
b
;
Bo Huang
b
;
bohuang@cuhk.edu.hk
;
Bing Xu
a
;
c
;
d
;
bingxu@tsinghua.edu.cn
关键词:
Land cover
classification
;
Remote sensing
;
Data
fusion
;
Temporal and angular features
刊名:ISPRS Journal of Photogrammetry and Remote Sensing
出版年:2017
3.
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
4.
A fast feature weighting algorithm of
data
gravitation
classification
作者:
Lizhi Peng
a
;
plz@ujn.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Hongli Zhang
b
;
zhanghongli@hit.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Haibo Zhang
c
;
haibo@cs.otago.ac.nz" class="auth_mail" title="E-mail the corresponding author
;
Bo Yang
;
a
;
yangbo@ujn.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
Machine learning
;
Classification
;
Feature selection
;
Data
gravitation
刊名:Information Sciences
出版年:2017
5.
A Q-learning-based multi-agent system for
data
classification
作者:
Farhad Pourpanah
a
;
Choo Jun Tan
b
;
Chee Peng Lim
c
;
chee.lim@deakin.edu.au
;
Junita Mohamad-Saleh
a
关键词:
Fuzzy ARTMAP
;
Multi-agent system
;
Q-learning
;
Trust measurement
;
Data
classification
刊名:Applied Soft Computing
出版年:2017
6.
Data
classification
with binary response through the Boosting algorithm and logistic regression
作者:
Fortunato S. de Menezes
;
a
;
b
;
fmenezes@dfi.ufla.br" class="auth_mail" title="E-mail the corresponding author
;
fsdmenezes@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Gilberto R. Liska
b
;
gilbertoliska@unipampa.edu.br" class="auth_mail" title="E-mail the corresponding author
;
Marcelo A. Cirillo
b
;
macufla@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author
;
Má
;
rio J.F. Vivanco
b
;
ferrua@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author
关键词:
Boosting algorithm
;
Data
classification
;
Logistic regression
;
Information criteria
;
AIC
;
BIC
;
Selection of models
;
Monte Carlo Simulation
刊名:Expert Systems with Applications
出版年:2017
7.
A new distance measure for non-identical
data
with application to image
classification
作者:
Muthukaruppan Swaminathan
a
;
b
;
muthu@tll.org.sg
Author Vitae
;
Pankaj Kumar Yadav
a
Author Vitae
;
Obdulio Piloto
c
;
obdulio.piloto@entopsis.com
Author Vitae
;
Tobias Sjö
;
blom
d
;
tobias.sjoblom@igp.uu.se
Author Vitae
;
Ian Cheong
a
;
b
;
ian@tll.org.sg
Author Vitae
关键词:
Poisson-Binomial distribution
;
Semi-metric distance
;
Non-identical
data
;
Distance measure
;
Image
classification
;
Image recognition
刊名:Pattern Recognition
出版年:2017
8.
Object-to-group probabilistic distance measure for uncertain
data
classification
作者:
Behnam Tavakkol
behnam.tavakkol@rutgers.edu
Author Vitae
;
Myong Kee Jeong
;
mjeong@rci.rutgers.edu
;
mjeong@soe.rutgers.edu
Author Vitae
;
Susan L. Albin
salbin@rci.rutgers.edu
Author Vitae
关键词:
Data
mining
;
Uncertain
data
;
Classification
;
Probabilistic distance measures
刊名:Neurocomputing
出版年:2017
9.
Deriving optimal
data
-analytic regimes from benchmarking studies
作者:
Lisa L. Doove
a
;
lisa.doove@kuleuven.be
;
Tom F. Wilderjans
a
;
b
;
t.f.wilderjans@fsw.leidenuniv.nl
;
Antonio Calcagnì
;
a
;
c
;
antonio.calcagni@unitn.it
;
Iven Van Mechelen
a
;
iven.vanmechelen@kuleuven.be
关键词:
Additive clustering
;
Benchmarking
;
Classification
trees
;
Comparison of methods
;
Data
-analytic regimes
;
Supervised learning
刊名:Computational Statistics &
Data
Analysis
出版年:2017
10.
Investigation of Voice Pathology Detection and
Classification
on Different Frequency Regions Using Correlation Functions
作者:
Ahmed Al-nasheri
;
a.alnashari@yahoo.com
;
Ghulam Muhammad
;
Mansour Alsulaiman
;
Zulfiqar Ali
关键词:
Voice pathology detection and
classification
;
Frequency investigation
;
Arabic Voice Pathology
Data
base (AVPD)
;
Saarbruecken Voice
Data
base (SVD)
;
Massachusetts Eye and Ear Infirmary (MEEI)
刊名:Journal of Voice
出版年:2017
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