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在“
Elsevier电子期刊
”中,
命中:
12,846
条,耗时:0.1399358 秒
在所有数据库中总计命中:
493,114
条
1.
Machine
learning
methods
for solar radiation forecasting: A review
作者:
Cyril Voyant
a
;
b
;
voyant@univ-corse.fr
;
Gilles Notton
a
;
Soteris Kalogirou
c
;
Marie-Laure Nivet
a
;
Christophe Paoli
a
;
d
;
Fabrice Motte
a
;
Alexis Fouilloy
a
关键词:
Solar radiation forecasting
;
Machine
learning
;
Artificial neural networks
;
Support vector machines
;
Regression
刊名:Renewable Energy
出版年:2017
2.
Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-
learning
methods
(GLUMM)
作者:
J.F. Dipnall
a
;
b
;
jdipnall@deakin.edu.au
;
J.A. Pasco
a
;
c
;
d
;
e
;
1
;
M. Berk
a
;
e
;
f
;
g
;
h
;
1
;
L.J. Williams
a
;
1
;
S. Dodd
a
;
e
;
f
;
1
;
F.N. Jacka
a
;
f
;
i
;
j
;
1
;
D. Meyer
b
;
1
关键词:
Depression
;
Psychiatry
;
Machine
learning
;
Boosted regression
;
Cluster
;
Lifestyle
刊名:European Psychiatry
出版年:2017
3.
Using
methods
from machine
learning
to evaluate behavioral models of choice under risk and ambiguity
作者:
Alexander Peysakhovich
a
;
1
;
alex.peys@gmail.com
;
Jeffrey Naecker
b
;
jnaecker@wesleyan.edu
关键词:
Behavioral economics
;
Machine
learning
;
Risk
;
Ambiguity
;
Decision-making
刊名:Journal of Economic Behavior & Organization
出版年:2017
4.
Part-Time Nursing Faculty Perceptions of Their
Learning
Needs During Their Role Transition Experiences
作者:
Rhoda A. Owens
;
PhD
;
RN
;
rhoda.owens@und.edu
关键词:
Part-time nursing faculty
;
Associate degree faculty
;
Pedagogical skills
;
Role transition
;
Transformative
learning
;
Professional identity
刊名:Teaching and
Learning
in Nursing
出版年:2017
5.
Methods
Faculty Use to Facilitate Nursing Students' Critical Thinking
作者:
Audrey E. Nelson
;
PhD
;
RN
;
anelson@unmc.edu
关键词:
Methods
;
Faculty
;
Nursing students
;
Critical thinking
刊名:Teaching and
Learning
in Nursing
出版年:2017
6.
Robust
learning
in SpikeProp
作者:
Sumit Bam Shrestha
bam_sumit@hotmail.com
sumitbam001@e.ntu.edu.sg
;
Qing Song
;
eqsong@ntu.edu.sg
关键词:
Spiking Neural Network
;
Error analysis
;
Weight convergence
;
Robust stability
;
Supervised
learning
;
Adaptive
learning
rate
刊名:Neural Networks
出版年:2017
7.
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
8.
Individual contributions in student-led collaborative
learning
: Insights from two analytical approaches to explain the quality of group outcome
作者:
Simone Volet
a
;
S.Volet@murdoch.edu.au
;
Marja Vauras
b
;
c
;
marja.vauras@utu.fi
;
Anne-Elina Salo
c
;
anne-elina.salo@utu.fi
;
Deep Khosa
d
;
dkhosa@uoguelph.ca
关键词:
Co-construction
;
Socially shared metacognitive regulation
;
Collaborative
learning
;
Process data analysis
;
Role analysis
刊名:
Learning
and Individual Differences
出版年:2017
9.
Learning
from class-imbalanced data: Review of
methods
and applications
作者:
Guo Haixiang
a
;
b
;
c
;
1
;
faterdumk0732@sina.com
;
Li Yijing
a
;
b
;
1
;
liyijing024@hotmail.com
;
liyijing024@gmail.com
;
Jennifer Shang
d
;
shang@katz.pitt.edu
;
Gu Mingyun
a
;
550312686@qq.com
;
Huang Yuanyue
a
;
huangyuanyue1991@126.com
;
Gong Bing
e
;
gongbing1112@gmail.com
关键词:
Rare events
;
Imbalanced data
;
Machine
learning
;
Data mining
刊名:Expert Systems with Applications
出版年:2017
10.
Preferred
Methods
of
Learning
for Nursing Students in an On-Line Degree Program
作者:
Debra Hampton
;
PhD
;
FACHE
*
;
dhamp0@email.uky.edu
;
dhamp0@aol.com
;
Patricia F. Pearce
;
PhD
;
FAANP
&dagger
;
;
Debra K. Moser
;
PhD
;
FAAN
&Dagger
;
关键词:
On-line instruction
;
Teaching/
Learning
methodologies
;
Learning
preferences
刊名:Journal of Professional Nursing
出版年:2017
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