The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning.
Inna KolyshkinaSimeon SimoffPublished in: IEEE BigData (2021)
Keyphrases
- machine learning
- maximum likelihood
- machine learning methods
- key issues
- machine learning algorithms
- explanation based learning
- pattern recognition
- machine learning approaches
- learning algorithm
- reinforcement learning
- natural language
- feature selection
- data mining
- knowledge acquisition
- fuzzy logic
- artificial intelligence
- fuzzy sets
- decision trees
- text classification
- support vector machine
- learning problems
- inductive learning
- neural network
- learning tasks
- supervised machine learning
- semi supervised learning
- em algorithm
- natural language processing
- supervised learning
- information extraction
- knowledge representation
- probabilistic model
- computer vision