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内部出版物
CNKI学位论文(14)
知网期刊论文(8)
在“
Elsevier电子期刊
”中,
命中:
10
条,耗时:0.016024 秒
在所有数据库中总计命中:
22
条
1.
Hardware acceleration of
homogeneous
and
heterogeneous
ensemble
classifiers
作者:
Vuk S. Vranjković
bykbpa@uns.ac.rs" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Rastislav J.R. Struharik
;
rasti@uns.ac.rs" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Ladislav A. Novak
ladislav@uns.ac.rs" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Homogeneous
and
heterogeneous
ensemble
classifiers
;
Decision trees
;
Support vector machines
;
Artificial neural networks
;
Hardware acceleration
;
Reconfigurable hardware
刊名:Microprocessors
and
Microsystems
出版年:2015
2.
Optimal selection of
ensemble
classifiers
using measures of competence
and
diversity of base
classifiers
作者:
Rafal Lysiak
;
Marek Kurzynski
;
Tomasz Woloszynski
关键词:
Dynamic
ensemble
selection
;
Classifier competence
;
Diversity measure
;
Simulated annealing
刊名:Neurocomputing
出版年:27 February, 2014
3.
Effect of
ensemble
classifier composition on offline cursive character recognition
作者:
Ashfaqur Rahman
a
;
ashfaqur.rahman@csiro.au
;
Brijesh Verma
b
;
b.verma@cqu.edu.au
关键词:
H
and
writing recognition
;
Cursive character recognition
;
Ensemble
classifier
刊名:Information Processing
and
Management
出版年:2013
4.
A measure of competence based on r
and
om classification for dynamic
ensemble
selection
作者:
Tomasz Woloszynski
a
;
tom@mech.uwa.edu.au
;
Marek Kurzynski
b
;
marek.kurzynski@pwr.wroc.pl
;
Pawel Podsiadlo
a
;
pawel@mech.uwa.edu.au
;
Gwidon W. Stachowiak
a
;
gws@mech.uwa.edu.au
关键词:
Multiple classifier system
;
Dynamic
ensemble
selection
;
Competence measure
;
R
and
om classification
刊名:Information Fusion
出版年:2012
5.
Predicting warfarin dosage from clinical data: A supervised learning approach
作者:
Ya-Han Hu
;
Fan Wu
;
Chia-Lun Lo
;
Chun-Tien Tai
关键词:
Classifier
ensemble
;
Support vector regression
;
Multilayer perceptron
;
Model tree
;
Dosage prediction
;
Warfarin
刊名:Artificial Intelligence in Medicine
出版年:2012
6.
Predicting stock returns by classifier
ensemble
s
作者:
Chih-Fong Tsai
a
;
1
;
cftsai@mgt.ncu.edu.tw
;
Yuah-Chiao Lin
c
;
2
;
actycl@ccu.edu.tw
;
David C. Yen
b
;
yendc@muohio.edu
;
Yan-Min Chen
c
;
2
;
wenjer@gmail.com
关键词:
Stock returns
;
Neural networks
;
Decision trees
;
Logistic regression
;
Classifier
ensemble
s
刊名:Applied Soft Computing Journal
出版年:2011
7.
The build of n-Bits Binary Coding ICBP
Ensemble
System
作者:
Qun
;
Dai
;
;
;
daiqun@nuaa.edu.cn
;
Ningzhong
;
Liu
关键词:
Neural network
ensemble
;
Machine learning
;
Pattern recognition
;
Classifier
;
Improved circular back-propagation neural network (ICBP)
;
Accuracy
;
Diversity
;
n
-Bits Binary Coding ICBP
Ensemble
System (
n
BBC-ICBP-ES)
;
H
and
written digit recognitio
刊名:Neurocomputing
出版年:2011
8.
Central-tendency estimation
and
nearest-estimate classification of event related potentials
作者:
Lalit Gupta
a
;
lgupta@siu.edu
;
Srinivas Kota
b
;
Phani Yarlagadda
a
;
Dennis L. Molfese
b
[Author vitae]
关键词:
Decision fusion
;
ERP classification
;
ERP estimation
;
Event related potentials
;
Multivariate central-tendency estimation
刊名:Pattern Recognition
出版年:2011
9.
An experimental study of one-
and
two-level classifier fusion for different sample sizes
作者:
Chun-Xia
;
Zhang
a
;
;
b
;
;
cxzhang@mail.xjtu.edu.cn
;
Robert P.W.
;
Duin
b
;
;
r.duin@ieee.org
关键词:
Ensemble
classifier
;
Classifier fusion rule
;
Training sample size
;
Fixed combiner
;
Trainable combiner
刊名:Pattern Recognition Letters
出版年:2011
10.
Integration of
heterogeneous
data sources for gene function prediction using decision templates
and
ensemble
s of learning machines
作者:
Matteo Re
;
Giorgio Valentini
关键词:
Majority voting
;
Decision templates
;
Decision fusion
;
Data integration
;
Gene function prediction
刊名:Neurocomputing
出版年:2010
1
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