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知网期刊论文(26629)
在“
Elsevier电子期刊
”中,
命中:
25,963
条,耗时:小于0.01 秒
在所有数据库中总计命中:
37,770
条
1.
Synchronization clustering based on central force optimization and its extension for large-scale
dataset
s
作者:
Wenlong Hang
a
;
b
;
hwl881018@163.com
;
Kup-Sze Choi
b
;
kschoi@ieee.org
;
Shitong Wang
a
;
c
;
wxwangst@aliyun.com
关键词:
Gravitational kinematics
;
Central force optimization
;
Partial synchronization
;
Synchronization clustering
;
Fast kernel density estimation
;
Large-scale
dataset
s
刊名:Knowledge-Based Systems
出版年:2017
2.
KerMinSVM for imbalanced
dataset
s 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
dataset
s
;
Support vector machines
;
Arabic comics analysis
;
Natural language processing
;
Supervised classification
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
3.
Medical decision support system for extremely imbalanced
dataset
s
作者:
Swati Shilaskar
;
shilaskar_swati@rediffmail.com
;
swati.shilaskar@vit.edu
;
Ashok Ghatol
1
;
vc_2005@rediffmail.com
;
Prashant Chatur
2
;
chatur.prashant@gcoea.ac.in
关键词:
Imbalanced
dataset
;
Evolutionary algorithm
;
Medical diagnosis
;
Particle swarm
;
Physiological parameters
;
Synthetic sampling
刊名:Information Sciences
出版年:2017
4.
Entropy-based fuzzy support vector machine for imbalanced
dataset
s
作者:
Qi Fan
a
;
c
;
Zhe Wang
;
a
;
c
;
wangzhe@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Dongdong Li
a
;
Daqi Gao
a
;
gaodaqi@ecust.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Hongyuan Zha
b
关键词:
Information entropy
;
Fuzzy support vector machine
;
Imbalanced
dataset
;
Pattern recognition
刊名:Knowledge-Based Systems
出版年:2017
5.
Enumerating all maximal biclusters in numerical
dataset
s
作者:
Rosana Veroneze
;
a
;
veroneze@dca.fee.unicamp.br" class="auth_mail" title="E-mail the corresponding author
;
rveroneze@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Arindam Banerjee
b
Author Vitae
;
Fernando J. Von Zuben
a
Author Vitae
关键词:
Efficient enumeration
;
Maximal biclusters
;
Numerical
dataset
s
;
Multiple types of biclusters
;
Perfect and perturbed biclusters
刊名:Information Sciences
出版年:2017
6.
Assessment of the cropland classifications in four global land cover
dataset
s: A case study of Shaanxi Province, China
作者:
Xiao-yu CHEN
a
;
Ya LIN
a
;
Min ZHANG
a
;
Le YU
a
;
Hao-chuan LI
b
;
Yu-qi BAI
a
;
yuqibai@tsinghua.edu.cn
关键词:
land cover
;
cropland classification
;
assessment
;
MODIS
;
GlobCover2009
;
FROM-GC
;
GlobeLand30
刊名:Journal of Integrative Agriculture
出版年:2017
7.
Effects of
dataset
characteristics on the performance of feature selection techniques
作者:
Dijana Oreski
a
;
dijana.oreski@foi.hr
;
Stjepan Oreski
b
;
stjepan.oreski@kaba.hr
;
Bozidar Klicek
a
;
bozidar.klicek@foi.hr
关键词:
Dataset
characteristics
;
Feature selection
;
Comparative analysis
;
Data sparsity
;
Feature noise
刊名:Applied Soft Computing
出版年:2017
8.
A collection of challenging motion segmentation benchmark
dataset
s
作者:
Muhammad Habib Mahmood
;
mhabib82@hotmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Yago Dí
;
ezAuthor Vitae
;
Joaquim SalviAuthor Vitae
;
Xavier Lladó
;
Author Vitae
关键词:
Motion segmentation
;
Tracking
;
Trajectory
;
Benchmark
;
Dataset
刊名:Pattern Recognition
出版年:2017
9.
A practical approach for evaluating safe fatigue life of hydraulic actuator in helicopter based on a nominal force concept and minimal
dataset
s
作者:
Z.Y. Lv
;
J.J. Xiong
;
jjxiong@buaa.edu.cn
;
L. Tong
;
Y.T. Zhu
关键词:
Fatigue
;
Structural fatigue characteristics
;
Safe life
;
Step constant amplitude loading
;
Hydraulic actuator
刊名:Aerospace Science and Technology
出版年:2017
10.
Paternal age negatively predicts offspring physical attractiveness in two, large, nationally representative
dataset
s
作者:
Michael A. Woodley of Menie
a
;
b
;
Michael.Woodley@vub.ac.be
;
Satoshi Kanazawa
c
关键词:
Mutation load
;
Paternal age effects
;
Physical attractiveness
刊名:Personality and Individual Differences
出版年:2017
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