Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena.
Timo FreieslebenGunnar KönigChristoph MolnarÁlvaro Tejero-CanteroPublished in: CoRR (2022)
Keyphrases
- machine learning
- real world
- data mining
- case study
- statistical methods
- efficient learning
- computer science
- probabilistic model
- information extraction
- machine learning algorithms
- artificial intelligence
- data sets
- pattern recognition
- learning rules
- learning models
- machine learning methods
- gibbs sampler
- structured prediction
- machine learning approaches
- bayesian inference
- computational models
- data driven approaches
- experimental data
- complex systems
- natural language processing
- supervised learning
- knowledge discovery
- wide range
- decision trees
- computer vision
- information retrieval