Using regression trees to predict citrus load balancing accuracy and costs.
Griselda R. R. BóbedaElías F. CombarroSilvia Matilde MazzaLaura I. GiménezIrene DíazPublished in: Int. J. Comput. Intell. Syst. (2018)
Keyphrases
- load balancing
- regression trees
- dynamic load balancing
- distributed systems
- grid computing
- peer to peer
- mobile agents
- load balancing strategies
- random forests
- prediction accuracy
- regression model
- training data
- decision rules
- linear model
- artificial neural networks
- neural network
- genetic programming
- least squares
- classification accuracy
- linear models
- machine learning