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Springer电子图书(37)
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知网期刊论文(5785)
在“
Elsevier电子期刊
”中,
命中:
925
条,耗时:0.0169563 秒
在所有数据库中总计命中:
9,737
条
1.
Semi-supervised selective
ensemble
learning
based on distance to model for nonlinear soft sensor development
作者:
Weiming Shao
swmupc@163.com
Author Vitae
;
Xuemin Tian
;
tianxm@upc.edu.cn
Author Vitae
关键词:
Nonlinear soft sensor
;
Semi-supervised
ensemble
learning
;
Selective
ensemble
learning
;
Distance to model
;
Adaptive process state partition
;
Particle swarm optimization
刊名:Neurocomputing
出版年:2017
2.
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme
learning
ensemble
作者:
Jerzy Kowalski
a
;
jerzy95@am.gdynia.pl
;
Bartosz Krawczyk
b
;
bartosz.krawczyk@pwr.edu.pl
;
Michał Woźniak
b
;
michal.wozniak@pwr.edu.pl
关键词:
Marine engine
;
Fault diagnosis
;
Fault detection
;
Diesel engine
;
Machine
learning
;
Ensemble
learning
;
Extreme
learning
machines
;
Multi-class decomposition
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
3.
Ensemble
based adaptive over-sampling method for imbalanced data
learning
in computer aided detection of microaneurysm
作者:
Fulong Ren
a
;
b
;
Peng Cao
a
;
b
;
caopeng@ise.neu.edu.cn
;
Wei Li
b
;
Dazhe Zhao
a
;
b
;
Osmar Zaiane
c
关键词:
Microaneurysm detection
;
Classification
;
False positive reduction
;
Imbalanced data
learning
;
Ensemble
learning
刊名:Computerized Medical Imaging and Graphics
出版年:2017
4.
Understanding ridesplitting behavior of on-demand ride services: An
ensemble
learning
approach
作者:
Xiqun (Michael) Chen
;
chenxiqun@zju.edu.cn
;
Majid Zahiri
;
Shuaichao Zhang
关键词:
On-demand ride service
;
Rideplitting
;
Ensemble
learning
;
Boosting
;
Decision tree
刊名:Transportation Research Part C: Emerging Technologies
出版年:2017
5.
Subspace
ensemble
learning
via totally-corrective boosting for gait recognition
作者:
Guangkai Ma
a
;
1
;
Author Vitae
;
Yan Wang
b
;
1
Author Vitae
;
Ligang Wu
a
Author Vitae
关键词:
Subspace
learning
;
Totally-corrective boosting
;
Ensemble
learning
;
Gait recognition
刊名:Neurocomputing
出版年:2017
6.
Glaucoma detection using entropy sampling and
ensemble
learning
for automatic optic cup and disc segmentation
作者:
Julian Zilly
a
Author Vitae
;
Joachim M. Buhmann
b
Author Vitae
;
Dwarikanath Mahapatra
b
;
dwarikanath.mahapatra@inf.ethz.ch
Author Vitae
关键词:
Optic cup
;
Optic disc
;
Segmentation
;
Glaucoma
;
Ensemble
learning
;
CNN
;
Boosting
刊名:Computerized Medical Imaging and Graphics
出版年:2017
7.
Hybrid integration of Multilayer Perceptron Neural Networks and machine
learning
ensemble
s for landslide susceptibility assessment at Himalayan area (India) using GIS
作者:
Binh Thai Pham
a
;
b
;
phambinhgtvt@gmail.com
;
binhpt@utt.edu.vn
;
Dieu Tien Bui
c
;
Indra Prakash
d
;
M.B. Dholakia
e
关键词:
Landslides
;
Ensemble
techniques
;
Multilayer Perceptron Neural Network
;
Himalaya
;
India
刊名:CATENA
出版年:2017
8.
Deep
learning
based
ensemble
approach for probabilistic wind power forecasting
作者:
Huai-zhi Wang
a
;
wanghz@szu.edu.cn
;
Gang-qiang Li
a
;
ligq@szu.edu.cn
;
Gui-bin Wang
b
;
wanggb@szu.edu.cn
;
Jian-chun Peng
a
;
jcpeng@szu.edu.cn
;
Hui Jiang
c
;
huijiang@szu.edu.cn
;
Yi-tao Liu
a
关键词:
Convolutional neural network
;
Ensemble
;
Probabilistic wind power forecast
;
Deep
learning
;
Wavelet transform
刊名:Applied Energy
出版年:2017
9.
Improving positioning accuracy of vehicular navigation system during GPS outages utilizing
ensemble
learning
algorithm
作者:
Jing Li
;
lijing0408220@163.com" class="auth_mail" title="E-mail the corresponding author
;
Ningfang Song
;
Gongliu Yang
;
Ming Li
;
Qingzhong Cai
关键词:
Sins/gps integration
;
Gps outages
;
Neural network
;
Ensemble
learning
algorithm
刊名:Information Fusion
出版年:2017
10.
Ensemble
feature selection: Homogeneous and heterogeneous approaches
作者:
B. Seijo-Pardo
;
borja.seijo@udc.es
;
I. Porto-Dí
;
az
iporto@udc.es
;
V. Boló
;
n-Canedo
vbolon@udc.es
;
A. Alonso-Betanzos
ciamparo@udc.es
关键词:
Ensemble
learning
;
Feature selection
;
Ranking aggregation
;
Classification
;
SVM-Rank
;
Data complexity measures
刊名:Knowledge-Based Systems
出版年:2017
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