Studying Trustworthiness of Neural-Symbolic Models for Enterprise Model Classification via Post-Hoc Explanation.
Alexander V. SmirnovAnton AgafonovNikolay ShilovPublished in: ICEIS (1) (2024)
Keyphrases
- classification models
- probabilistic model
- computational model
- statistical model
- high level
- mathematical model
- neural model
- pattern recognition
- experimental data
- computational models
- hybrid model
- parameter estimation
- statistical models
- prediction model
- process model
- analytical model
- autoregressive
- parametric models
- classification algorithm
- machine learning algorithms
- generic model
- model selection
- text classification
- linear model
- symbolic description
- structural model
- modeling framework
- mathematical modeling
- models built
- neural network
- mathematical models
- metamodel
- support vector machine svm
- probability distribution
- classification accuracy
- prior knowledge
- training data
- machine learning