Bayesian CAIPI: A Probabilistic Approach to Explanatory and Interactive Machine Learning.
Emanuel SlanyStephan ScheeleUte SchmidPublished in: ECAI Workshops (1) (2023)
Keyphrases
- machine learning
- bayesian networks
- posterior probability
- data driven
- machine learning methods
- pattern recognition
- machine learning algorithms
- user interaction
- learning algorithm
- generative model
- computational intelligence
- probabilistic model
- model selection
- learning tasks
- uncertain data
- explanation based learning
- decision theory
- artificial intelligence
- data mining
- covariate shift
- inductive learning
- neural network
- inductive logic programming
- bayesian inference
- bayesian methods
- bayesian learning
- computer graphics
- probabilistic logic
- learning systems
- maximum likelihood
- text mining
- natural language processing
- data analysis
- computer science
- probabilistic reasoning
- generalized em algorithm
- bayesian decision
- data sets
- handling uncertainty
- prior probabilities
- computer vision
- statistical inference
- natural language
- semi supervised learning
- prior knowledge
- active learning
- support vector machine
- information extraction
- text classification
- user friendly
- knowledge acquisition