Estimating vegetation height and canopy cover from remotely sensed data with machine learning-Reference-Cited by-同舟云学术

Estimating vegetation height and canopy cover from remotely sensed data with machine learning

Published:2010-07 Issue:4 Volume:5 Page:256-266
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Stojanova Daniela,Panov Panče,Gjorgjioski Valentin,Kobler Andrej,Džeroski Sašo

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference37 articles.

1. Blockeel, H., 1998. Top-down induction of first order logical decision trees. Ph.D. thesis, Katholieke Universiteit Leuven, Belgium.

2. Efficient algorithms for decision tree cross-validation;Blockeel;Journal of Machine Learning Research,2002

3. Bagging predictors;Breiman;Machine Learning,1996

4. Random forests;Breiman;Machine Learning,2001

5. Classification and Regression Trees. The Wadsworth Statistics/Probability Series;Breiman,1984

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