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马克思主义、列宁主义、毛泽东思想、邓小平理论(2)
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天文学、地球科学(1)
在“
自然资源管理
”中,
命中:
8
条,耗时:小于0.01 秒
1.
NLPCC 2016 Shared Task Chinese Words Similarity Measure via
Ensemble
Learning
Based on Multiple Resources
关键词:
Chinese word similarity
;
TYCCL
;
Hownet
;
Deep
learning
;
Support vector regression
刊名:Lecture Notes in Computer Science
年:2016
2.
Advancing monthly streamflow prediction accuracy of CART models using
ensemble
learning
paradigms
作者:
Halil Ibrahim Erdala
;
halilerdal@yahoo.com
;
Onur Karakurtb
;
1
;
karakurtonur@yahoo.com
关键词:
Bagging (bootstrap aggregating)
;
Classification and regression trees
;
Ensemble
learning
;
Stochastic gradient boosting
;
Streamflow prediction
;
Support vector regression
刊名:Journal of Hydrology
年:2013
3.
Evaluation of random forest regression for prediction of breeding value from genomewide SNPs
作者:
RUPAM KUMAR SARKAR
;
A. R. RAO
;
PRABINA KUMAR MEHER
;
T. NEPOLEAN…
关键词:
genomewide SNPs
;
penalized regression
;
prediction of breeding value
;
machine
learning
methods.
刊名:Journal of Genetics
出版者:Springer India
年:2015
4.
Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing
Ensemble
Procedure
作者:
Ahmed El-Shafie (1) Ali Najah (2) Humod Mosad Alsulami (3) Heerbod Jahanbani (4)
关键词:
Evapotranspiration
;
Neural network
;
Ensemble
neural network
;
Over
;
fitting
;
Rasht City (Iran)
刊名:Water Resources Management
年:2014
5.
Reconstructing meteorological time series to quantify the uncertainties of runoff simulation in the ungauged Qira River Basin using data from multiple stations
作者:
Jie Xue
;
Dongwei Gui
;
Jiaqiang Lei
;
Xinlong Feng…
刊名:Theoretical and Applied Climatology
出版者:Springer Wien
年:2016
6.
Decision tree
ensemble
s for online operation of large smart grids
作者:
Kent C.B. Steer
;
1
;
ksteer@unimelb.edu.au
;
Andrew Wirth
;
Saman K. Halgamuge
关键词:
Smart grids
;
Optimization
;
Particle swarm optimization
;
Optimal scheduling
;
Machine
learning
;
Decision trees
;
Receding horizon
;
Optimal control
刊名:Energy Conversion and Management
年:2012
7.
Estimating vegetation height and canopy cover from remotely sensed data with machine
learning
作者:
Daniela Stojanova
;
Panč
;
e Panov
;
Valentin Gjorgjioski
;
Andrej Kobler
;
Saš
;
o Dž
;
eroski
关键词:
Remote sensing
;
LiDAR
;
Landsat
;
Vegetation height
;
Canopy cover machine
;
Learning
刊名:Ecological Informatics
年:2010
8.
Mapping eucalypt forest susceptible to dieback associated with bell miners (Manorina melanophys) using laser scanning, SPOT 5 and ancillary topographical data
作者:
Andrew Haywooda
;
Andrew.Haywood@dse.vic.gov.au
;
Christine Stoneb
关键词:
Eucalypt forest dieback
;
Bell miners
;
Laser scanning
;
SPOT 5
;
Spatial modelling
;
Predictive mapping
刊名:Ecological Modelling
年:2011
1
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