Neural Networks and Random Forests: A Comparison Regarding Prediction of Propagation Path Loss for NB-IoT Networks.
Sotirios P. SotiroudisSotirios K. GoudosKatherine SiakavaraPublished in: MOCAST (2019)
Keyphrases
- random forests
- neural network
- decision trees
- logistic regression
- neural network ensemble
- random forest
- classification and regression trees
- ensemble methods
- prediction accuracy
- randomized trees
- machine learning algorithms
- naive bayes
- tree ensembles
- decision tree ensembles
- pattern recognition
- multi layer perceptron
- conformal prediction
- artificial neural networks
- predictive model
- support vector
- simulated annealing
- data sets
- text mining
- supervised learning
- active learning
- similarity measure
- feature extraction