Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks.
Jon VadilloRoberto SantanaJosé Antonio LozanoMarta KwiatkowskaPublished in: CoRR (2024)
Keyphrases
- neural network
- uncertain data
- probability theory
- conditional probabilities
- handling uncertainty
- decision theory
- probabilistic model
- pattern recognition
- probability measures
- fuzzy logic
- probabilistic knowledge
- artificial neural networks
- neural network model
- data driven
- back propagation
- belief networks
- data streams
- recurrent neural networks
- artificial intelligence
- generative model
- cellular neural networks
- probability measure
- information theoretic
- self organizing maps
- machine learning
- utility theory
- generating explanations
- probabilistic approaches
- database
- uncertain information
- possibility theory
- probabilistic logic
- multilayer perceptron
- incomplete information
- case study
- genetic algorithm
- data sets
- real time