A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics.
Francesco MarchettiSabrina GuastavinoCristina CampiFederico BenvenutoMichele PianaPublished in: CoRR (2023)
Keyphrases
- theoretical framework
- neural network
- pattern recognition
- machine learning
- classification accuracy
- support vector machine
- theoretical foundation
- support vector
- conceptual framework
- text classification
- rule extraction
- multi layer perceptron
- training process
- support vector machine svm
- artificial neural networks
- training set
- feature extraction
- supervised classification
- nearest neighbour
- feature selection
- theoretical frameworks