Toward a Taxonomy of Trust for Probabilistic Machine Learning.
Tamara BroderickAndrew GelmanRachael MeagerAnna L. SmithTian ZhengPublished in: CoRR (2021)
Keyphrases
- machine learning
- trust model
- computer vision
- learning algorithm
- machine learning algorithms
- probabilistic logic
- data driven
- supervised learning
- natural language processing
- explanation based learning
- machine learning methods
- generative model
- text mining
- neural network
- probabilistic model
- information extraction
- pattern recognition
- reinforcement learning
- decision trees
- support vector machine
- unsupervised learning
- learning tasks
- trust evaluation
- genetic algorithm
- feature selection
- machine learning approaches
- computational biology
- posterior probability
- information theoretic
- data analysis
- knowledge acquisition
- expert systems
- active learning