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在“
自然资源管理
”中,
命中:
12
条,耗时:小于0.01 秒
1.
Monthly streamflow forecasting using Gaussian Process
Regression
作者:
Alexander Y. Suna
;
alex.sun@beg.utexas.edu" class="auth_mail
;
Dingbao Wangb
;
Xianli Xuc
;
d
关键词:
Gaussian Process
Regression
;
Machine learning theory
;
Water/energy interactions
;
Probabilistic streamflow forecasting
;
Hydrologic similarity
刊名:Journal of Hydrology
年:16 April, 2014
2.
Stochastic Local Interaction (SLI) model: Bridging machine learning and geostatistics
作者:
Dionissios T. Hristopulos1
;
dionisi@mred.tuc.gr" class="auth_mail" title="E-mail the corresponding author
关键词:
Machine learning
;
Kernel
regression
;
Geostatistics
;
Big data
;
Sparse methods
刊名:Computers & Geosciences
年:2015
3.
Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.)
作者:
Akio Onogi (1) Osamu Ideta (2) Yuto Inoshita (1) Kaworu Ebana (3) Takuma Yoshioka (4) Masanori Yamasaki (4) Hiroyoshi Iwata (1) 1. Department of Agricultural and Environmental Biology
;
Graduate School of Agricultural and Life Sciences
;
The University of Tokyo
;
1-1-1 Yayoi
;
Bunkyo-Ku
;
Tokyo
;
113-8657
;
Japan 2. Western Region Agricultural Research Center
;
National Agriculture and Food Research Organization
;
Fukuyama
;
Hiroshima
;
721-8514
;
Japan 3. Genetic Resources Center
;
National Institute of Agrobiological Sciences
;
Tsukuba
;
Ibaraki
;
305-8602
;
Japan 4. Food Resources Education and Research Center
;
Graduate School of Agricultural Science
;
Kobe University
;
Kasai
;
Hyogo
;
675-2103
;
Japan
刊名:Theoretical and Applied Genetics
出版者:Springer Berlin Heidelberg
年:2015
4.
Variational Image Registration Using Inhomogeneous Regularization
作者:
Christoph Jud
;
Marcel Lüthi
;
Thomas Albrecht…
关键词:
Variational image registration
;
Separable filter approximation
;
Nonstationary filtering
;
Gaussian process
regression
刊名:Journal of Mathematical Imaging and Vision
年:2014
5.
Review on probabilistic forecasting of wind power generation
作者:
Yao Zhang zy.3110161019@stu.xjtu.edu.cn" class="auth_mail
;
Jianxue Wang
;
jxwang@mail.xjtu.edu.cn" class="auth_mail
;
Xifan Wang xfwang@mail.xjtu.edu.cn" class="auth_mail
关键词:
WPF
;
Wind Power Forecasting
;
PDF
;
Probability Density Function
;
CDF
;
Cumulative Distribution Function
;
QR
;
Quantile
Regression
;
KDE
;
Kernel
Density Estimation
;
ISO
;
Independent System Operator
;
RS-AR
;
Regime-Switching Auto
regression
;
MS-AR
;
Markov-Chain Regime-Switching Auto
regression
;
AR-GARCH
;
Auto
regression
-Generalized Autoregressive with Conditional Heteroscedasticity
;
CPAR
;
Conditional Parametric Auto
regression
;
LQR
;
Local Quantile
Regression
;
SQR
;
Spline Quantile
Regression
;
QRF
;
Quantile
刊名:Renewable and Sustainable Energy Reviews
年:April, 2014
6.
Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
作者:
Afiq Hipni (1) Ahmed El-shafie (1) Ali Najah (1) Othman Abdul Karim (1) Aini Hussain (1) Muhammad Mukhlisin (1) (2)
关键词:
Support vector machine
;
Dam water levels
;
Klang gate
刊名:Water Resources Management
年:2013
7.
Bivariate drought frequency curves and confidence intervals: a case study using monthly rainfall generation
作者:
Jiyoung Yoo (1) Ungtae Kim (2) Tae-Woong Kim (3)
关键词:
Drought
;
Frequency
;
Confidence interval
;
Copulas
刊名:Stochastic Environmental Research and Risk Assessment (SERRA)
年:2013
8.
Soft computing techniques toward modeling the water supplies of Cyprus
作者:
L. Iliadisa
;
1
;
liliadis@fmenr.duth.gr"" rel=""nofollow
;
F. Marisa
;
fmaris@fmenr.duth.gr"" rel=""nofollow
;
S. Tachosb
;
staxos@gmail.com"" rel=""nofollow
关键词:
Support vector machines
;
Water supply
;
Kernel
algorithms
;
5-fold cross validation
;
Artificial neural networks
刊名:Neural Networks
年:2011
9.
A History of
Regression
and Related Model-Fitting in the Earth Sciences (1636?-2000)
作者:
Howarth
;
Richard J.
关键词:
History of geology
;
history of geophysics
;
CART
;
errors
;
in
;
variables models
;
geostatistics
;
kernel
regression
;
kriging
;
least squares
;
logistic
regression
;
LOWESS
;
mixture models
;
multiple linear
regression
;
nonlinear
regression
;
Poisson
regression
;
regression
analysis
;
ridge regressi
刊名:Natural Resources Research
出版者:Springer Netherlands
年:2001
10.
Estimation of Discharge and End Depth in Trapezoidal Channel by Support Vector Machines
作者:
Mahesh Pal and Arun Goel
关键词:
support vector
regression
;
radial based
kernel
;
neural network
;
trapezoidal channel
;
discharge
;
end depth
;
bed slopes
刊名:Water Resources Management
出版者:Springer Netherlands
年:2007
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