Trusting Classifiers with Interpretable Machine Learning Based Feature Selection Backpropagation.
Saikat DasRaktim Ranjan DasFrederick T. SheldonSajjan G. ShivaPublished in: CCWC (2024)
Keyphrases
- back propagation
- feature selection
- machine learning
- learning algorithm
- neural network
- artificial neural networks
- feed forward
- feature set
- support vector
- bp algorithm
- machine learning algorithms
- training algorithm
- text classification
- hidden layer
- feature selection algorithms
- neural nets
- feed forward neural networks
- feature ranking
- naive bayes
- machine learning methods
- feedforward neural networks
- decision trees
- feature subset
- bp neural network
- classification accuracy
- classification models
- text categorization
- fuzzy logic
- multilayer perceptron
- backpropagation neural networks
- backpropagation neural network
- backpropagation algorithm
- active learning
- multilayer perceptron neural network
- support vector machine
- learning tasks
- model selection
- neural network ensemble
- multilayer neural network
- selected features
- semi supervised learning
- error back propagation
- cascade correlation
- multi layer neural network