Do Neural Networks Generalize from Self-Averaging Sub-classifiers in the Same Way As Adaptive Boosting?
Michael SunPeter ChatainPublished in: CoRR (2023)
Keyphrases
- neural network
- weak classifiers
- randomized trees
- boosting algorithms
- ensemble learning
- ensemble classifier
- weak learners
- decision trees
- support vector
- majority voting
- linear classifiers
- improving classification accuracy
- boosting framework
- multiclass classification
- feature selection
- training data
- pattern recognition
- genetic algorithm
- multiple classifier systems
- machine learning algorithms
- neural network model
- back propagation
- learning algorithm
- neuro fuzzy systems
- discriminative classifiers
- training samples
- fuzzy logic
- multi class
- learning rules
- multilayer perceptron
- bayesian classifiers
- ensemble methods
- artificial neural networks
- classification models
- adaboost algorithm
- binary classification problems
- machine learning methods
- weighted voting
- decision stumps
- ensemble classification
- classification trees
- combining multiple