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Elsevier电子期刊(8)
在“
Elsevier电子期刊
”中,
命中:
8
条,耗时:0.0349803 秒
在所有数据库中总计命中:
14
条
1.
Monotonic classification
extreme
learning
machine
作者:
Hong Zhu
a
;
xszhuhong@163.com
Author Vitae
;
Eric C.C. Tsang
a
;
cctsang@must.edu.mo
Author Vitae
;
Xi-Zhao Wang
b
;
xizhaowang@ieee.org
Author Vitae
;
Rana Aamir Raza Ashfaq
b
;
aamir@szu.edu.cn
Author Vitae
关键词:
Monotonic classification
;
Extreme
learning
machine
;
Constrained
extreme
learning
machine
;
Monotonicity
;
Quadratic programming
刊名:Neurocomputing
出版年:2017
2.
A
Constrained
Optimization based
Extreme
Learning
Machine
for noisy data regression
作者:
Shen Yuong Wong
a
;
1
;
joeywsy77@yahoo.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Keem Siah Yap
a
;
1
;
2
;
yapkeem@uniten.edu.my" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Hwa Jen Yap
b
;
hjyap737@um.edu.my" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Extreme
Learning
Machine
(ELM)
;
Noisy data regression
;
Constrained
Optimization
;
Kernel function
刊名:Neurocomputing
出版年:2016
3.
Adaptive weighted imbalance
learning
with application to abnormal activity recognition
作者:
Xingyu Gao
a
;
b
Author Vitae
;
Zhenyu Chen
a
;
chenzhenyu@ict.ac.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Sheng Tang
a
Author Vitae
;
Yongdong Zhang
a
Author Vitae
;
Jintao Li
a
Author Vitae
关键词:
MHealth
;
Imbalance
learning
;
Two-stage
;
Fall detection
刊名:Neurocomputing
出版年:2016
4.
A new descriptor of gradients Self-Similarity for smile detection in un
constrained
scenarios
作者:
Yuan Gao
ygao@sz.pku.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Hong Liu
;
hongliu@pku.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Pingping Wu
wupingping@pku.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Can Wang
canwang@pku.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Smile detection
;
Histogram of Oriented Gradients
;
Self-Similarity of Gradients
;
AdaBoost
;
Support Vector
Machine
;
Extreme
Learning
Machine
s
刊名:Neurocomputing
出版年:2016
5.
Optimally pruned
extreme
learning
machine
with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification
作者:
Ahmad Mozaffari
;
Nasser L. Azad
关键词:
Automotive engine modeling
;
Coldstart
;
Negative correlation based ensembles
;
Regularization
;
Extreme
learning
machine
s
刊名:Neurocomputing
出版年:5 May, 2014
6.
Neural
learning
of vector fields for encoding stable dynamical systems
作者:
A. Lemme
alemme@cor-lab.uni-bielefeld.de" class="auth_mail
Author Vitae
;
K. Neumann
kneumann@cor-lab.uni-bielefeld.de" class="auth_mail
Author Vitae
;
R.F. Reinhart
freinhar@cor-lab.uni-bielefeld.de" class="auth_mail
Author Vitae
;
J.J. Steil
jsteil@cor-lab.uni-bielefeld.de" class="auth_mail
Author Vitae
关键词:
Extreme
learning
machine
;
Neural network
;
Vector fields
;
Dynamical systems
learning
;
Motion generation
;
Movement generation
刊名:Neurocomputing
出版年:2 October 2014
7.
Optimization of nonlinear process based on sequential
extreme
learning
machine
作者:
Yingwei Zhang
;
a
;
zhangyi@che.utexas.edu"" rel=""nofollow
;
zhangyingwei@mail.neu.edu.cn"" rel=""nofollow
;
Pengchao Zhang
a
关键词:
Optimization
;
Process control
;
KELM
;
Chemical analysis
;
Design
;
Simulation
刊名:Chemical Engineering Science
出版年:2011
8.
Implications of resource limitations for a conscious
machine
作者:
L. Andrew Coward
;
Tamas O. Gedeon
关键词:
Consciousness
;
Information model
;
System resource architecture
;
System design
刊名:Neurocomputing
出版年:2009
1
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