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在“
Elsevier电子期刊
”中,
命中:
2,534
条,耗时:0.0319802 秒
在所有数据库中总计命中:
4,672
条
1.
Using quantile
regression
forest
to estimate uncertainty of digital soil mapping products
作者:
Ké
;
vin Vaysse
a
;
b
;
Philippe Lagacherie
b
;
lagache@supagro.inra.fr
关键词:
Digital soil mapping
;
GlobalSoilMap
;
Quantile
regression
forest
;
Uncertainties
;
Regional scale
刊名:Geoderma
出版年:2017
2.
Automatic cystocele severity grading in transperineal ultrasound by random
forest
regression
作者:
Dong Ni
a
Author Vitae
;
Xing Ji
a
Author Vitae
;
Min Wu
b
Author Vitae
;
Wenlei Wang
b
Author Vitae
;
Xiaoshuang Deng
b
Author Vitae
;
Zhongyi Hu
c
Author Vitae
;
Tianfu Wang
a
Author Vitae
;
Dinggang Shen
d
;
e
Author Vitae
;
Jie-Zhi Cheng
a
;
jiezhicheng@gmail.com
Author Vitae
;
Huifang Wang
b
;
kuangwhf2006@126.com
Author Vitae
关键词:
Cystocele grading
;
Symphysis pubis detection
;
Bladder boundary segmentation
;
Auto-context
;
Regression
forest
刊名:Pattern Recognition
出版年:2017
3.
Exposure assessment models for elemental components of particulate matter in an urban environment: A comparison of
regression
and random
forest
approaches
作者:
Cole Brokamp
a
;
b
;
cole.brokamp@cchmc.org
;
Roman Jandarov
b
;
M.B. Rao
b
;
Grace LeMasters
b
;
c
;
Patrick Ryan
a
;
b
关键词:
Elemental PM2.5
;
Land use
regression
;
Random
forest
刊名:Atmospheric Environment
出版年:2017
4.
A comparative study of logistic model tree, random
forest
, and classification and
regression
tree models for spatial prediction of landslide susceptibility
作者:
Wei Chen
a
;
chenwei.0930@163.com
;
Xiaoshen Xie
a
;
Jiale Wang
a
;
Biswajeet Pradhan
b
;
c
;
Haoyuan Hong
d
;
honghaoyuan333@gmail.com
;
hong_haoyuan@outlook.com
;
Dieu Tien Bui
e
;
Zhao Duan
a
;
Jianquan Ma
a
关键词:
Logistic model tree
;
Random
forest
;
Classification and
regression
tree
;
Landslide
;
China
刊名:CATENA
出版年:2017
5.
Guided optimisation through classification and
regression
for hand pose estimation
作者:
Philip Krejov
;
pk00008@surrey.ac.uk
;
Andrew Gilbert
;
Richard Bowden
关键词:
Hand pose estimation
;
Human computer interaction
;
Hand tracking
;
Finger tracking
;
Model optimisation
;
Random decision
forest
;
Discriminative learning
;
Regression
刊名:Computer Vision and Image Understanding
出版年:2017
6.
Estimating grassland LAI using the Random
Forest
s approach and Landsat imagery in the meadow steppe of Hulunber, China
作者:
Zhen-wang LI
;
lizhenwang@126.com
;
Xiao-ping XIN
;
Huan TANG
;
Fan YANG
;
Bao-rui CHEN
;
Bao-hui ZHANG
;
zhangbaohui@caas.cn
关键词:
leaf area index
;
Random
Forest
s grassland
;
remote sensing
;
Hulunber
刊名:Journal of Integrative Agriculture
出版年:2017
7.
Random
forest
regression
for magnetic resonance image synthesis
作者:
Amod Jog
;
a
;
amod@cs.jhu.edu" class="auth_mail" title="E-mail the corresponding author
;
amodjog@jhu.edu" class="auth_mail" title="E-mail the corresponding author
;
;
Aaron Carass
a
;
b
;
Snehashis Roy
c
;
Dzung L. Pham
c
;
Jerry L. Prince
b
关键词:
MRI
;
Image synthesis
;
Random
forest
s
;
Image enhancement
;
Neuroimaging
刊名:Medical Image Analysis
出版年:2017
8.
Predicting the occurrence of wildfires with binary structured additive
regression
models
作者:
Laura Rí
;
os-Pena
a
;
laura.rios@ebd.csic.es
;
Thomas Kneib
b
;
Carmen Cadarso-Suá
;
rez
c
;
Manuel Marey-Pé
;
rez
d
关键词:
Wildfires
;
Structured additive
regression
models
;
Covariates
;
Voxel
;
Penalized splines
;
Markov random fields
刊名:Journal of Environmental Management
出版年:2017
9.
Validating the Usefulness of the “Random
Forest
s” Classifier to Diagnose Early Glaucoma With Optical Coherence Tomography
作者:
Ryo Asaoka
a
;
rasaoka-tky@umin.ac.jp
;
Kazunori Hirasawa
b
;
Aiko Iwase
c
;
Yuri Fujino
a
;
Hiroshi Murata
a
;
Nobuyuki Shoji
b
;
Makoto Araie
d
刊名:American Journal of Ophthalmology
出版年:2017
10.
Using residual analysis in electromagnetic induction data interpretation to improve the prediction of soil properties
作者:
Chunfeng Lu
a
;
Zhiwen Zhou
b
;
Qing Zhu
b
;
c
;
qzhu@niglas.ac.cn
;
Xiaoming Lai
b
;
Kaihua Liao
b
关键词:
BF
;
bamboo
forest
;
CART
;
classification and
regression
tree
;
DB
;
depth to bedrock
;
ECa
;
apparent electrical conductivity
;
EMI
;
electromagnetic induction
;
PLC
;
plan curvature
;
PRC
;
profile curvature
;
RFC
;
rock fragment content
;
SMLR
;
stepwise multiple linear
regression
;
TG
;
tea garden
;
TWI
;
topographic wetness index
刊名:CATENA
出版年:2017
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