Voting-based ensemble-averaging visualization for water mass distribution.
Kun ZhaoSatoshi NakadaNaohisa SakamotoKoji KoyamadaPublished in: J. Vis. (2015)
Keyphrases
- voting schemes
- water distribution
- majority voting
- weighted voting
- neural network
- ensemble learning
- machine learning
- water supply
- uniformly distributed
- self organizing maps
- decision trees
- probability distribution
- user interface
- learning algorithm
- training data
- training set
- voting method
- water resources
- artificial neural networks
- visual representation
- random variables
- spatial distribution
- random forests
- random forest
- base classifiers
- ensemble methods
- data distribution