Experimental Comparison of Theory-Guided Deep Learning Algorithms.
Simone MonacoDaniele ApilettiPublished in: ADBIS (Short Papers) (2022)
Keyphrases
- experimental comparison
- learning algorithm
- theoretical framework
- feature selection
- machine learning
- machine learning algorithms
- deep architectures
- decision trees
- active learning
- formal theory
- theoretical basis
- training data
- learning problems
- supervised learning
- linear threshold
- information theory
- computational model
- database
- learning tasks
- multi agent systems
- image sequences
- learning theory
- learning models
- generalization ability
- case study
- e learning
- decision making
- neural network
- databases