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在“
Elsevier电子期刊
”中,
命中:
1,992
条,耗时:0.0540014 秒
在所有数据库中总计命中:
4,175
条
1.
Transfer
orthogonal sparsifying transform
learning
for phase retrieval
作者:
Qiusheng Lian
;
lianqs@ysu.edu.cn
Author Vitae
;
Baoshun Shi
shibaoshun@stumail.ysu.edu.cn
Author Vitae
;
Shuzhen Chen
chen_sz818@163.com
Author Vitae
关键词:
Sparsifying transform
learning
;
Phase retrieval
;
Image processing
;
Transfer
learning
刊名:Digital Signal Processing
出版年:2017
2.
Accelerating bio-inspired optimizer with
transfer
reinforcement
learning
for reactive power optimization
作者:
Xiaoshun Zhang
a
;
xszhang1990@sina.cn
;
Tao Yu
a
;
taoyu1@scut.edu.cn
;
yutao99@tsinghua.org.cn
;
Bo Yang
b
;
yangbo_ac@outlook.com
;
Lefeng Cheng
a
;
chenglf_scut@163.com
关键词:
Accelerating bio-inspired optimizer
;
Transfer
reinforcement
learning
;
Memory matrix
;
Cooperating multi-bion
;
WoLF-PHC
;
Reactive power optimization
刊名:Knowledge-Based Systems
出版年:2017
3.
Investigating the
learning
transfer
of genre features and conceptual knowledge from an academic literacy course to business studies: Exploring the potential of dynamic assessment
作者:
Prithvi N. Shrestha
Prithvi.Shrestha@open.ac.uk
Author Vitae
关键词:
Learning
transfer
;
Dynamic assessment
;
Business studies writing development
;
Conceptual development
;
Systemic functional linguistics
;
Sociocultural theory
刊名:Journal of English for Academic Purposes
出版年:2017
4.
Equilibrium-inspired multiagent optimizer with extreme
transfer
learning
for decentralized optimal carbon-energy combined-flow of large-scale power systems
作者:
Xiaoshun Zhang
a
;
Yixuan Chen
a
;
Tao Yu
a
;
taoyu1@scut.edu.cn
;
Bo Yang
b
;
Kaiping Qu
a
;
Senmao Mao
c
关键词:
Equilibrium-inspired multiagent optimizer
;
Extreme
transfer
learning
;
Nash equilibrium
;
State-action chain
;
Decentralized optimal carbon-energy combined-flow
刊名:Applied Energy
出版年:2017
5.
Toddlers’ word
learning
and
transfer
from electronic and print books
作者:
Gabrielle A. Strouse
;
gabrielle.strouse@usd.edu
;
Patricia A. Ganea
关键词:
Transfer
;
Word
learning
;
Screen media
;
E-books
;
Symbolic development
;
Toddlers
刊名:Journal of Experimental Child Psychology
出版年:2017
6.
Investigating the impact of
learning
environments on undergraduate students' academic performance in a prerequisite and post-requisite course sequence
作者:
John E. Wisneski
a
;
wisneski@indiana.edu
;
Gamze Ozogul
b
;
gozogul@indiana.edu
;
Barbara A. Bichelmeyer
c
;
bichelmeyer@umkc.edu
关键词:
Prerequisite
learning
;
Knowledge
transfer
;
Learning
environments
刊名:The Internet and Higher Education
出版年:2017
7.
A balanced motor primitive framework can simultaneously explain motor
learning
in unimanual and bimanual movements
作者:
Ken Takiyama
a
;
takiyama1106@yahoo.co.jp
;
t.j.ken.takiyama@gmail.com
;
Yutaka Sakai
b
关键词:
Motor
learning
;
Neural network
;
Motor primitive
;
Bimanual movement
;
Unimanual movement
刊名:Neural Networks
出版年:2017
8.
Experiencing a reaching task passively with one arm while adapting to a visuomotor rotation with the other can lead to substantial
transfer
of motor
learning
across the arms
作者:
Shancheng Bao
a
;
Yuming Lei
a
;
b
;
Jinsung Wang
a
;
wang34@uwm.edu
关键词:
Inter-manual
;
Generalization
;
Proprioceptive training
;
Motor adaptation
;
Use dependency
刊名:Neuroscience Letters
出版年:2017
9.
A smart fairness mechanism for Concurrent multipath
transfer
in SCTP over wireless multi-hop networks
作者:
Nasim Arianpoo
;
nasima@ece.ubc.ca
Author Vitae
;
Victor C.M. Leung
vleung@ece.ubc.ca
Author Vitae
关键词:
Fairness
;
CMT-SCTP
;
Machine
learning
;
Wireless
;
Multi-hop
;
Smart distributed algorithm
刊名:Ad Hoc Networks
出版年:2017
10.
DCAN: Deep contour-aware networks for object instance segmentation from histology images
作者:
Hao Chen
;
a
;
hchen@cse.cuhk.edu.hk
;
Xiaojuan Qi
a
;
Lequan Yu
a
;
Qi Dou
a
;
Jing Qin
b
;
Pheng-Ann Heng
a
关键词:
Histopathological image analysis
;
Deep contour-aware network
;
Deep
learning
;
Transfer
learning
;
Object detection
;
Instance segmentation
刊名:Medical Image Analysis
出版年:2017
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