Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382).
Philipp BerensKyle CranmerNeil D. LawrenceUlrike von LuxburgJessica MontgomeryPublished in: Dagstuhl Reports (2022)
Keyphrases
- data driven
- machine learning
- computer science
- data mining
- artificial intelligence
- pattern recognition
- knowledge acquisition
- learning algorithm
- machine learning algorithms
- statistical learning
- machine learning methods
- information science
- feature selection
- learning systems
- middle school
- machine learning and data mining
- model driven
- learning problems
- learning tasks
- computer vision
- case study
- text mining
- cognitive science
- inductive learning
- supervised learning
- knowledge representation
- science education
- expert systems
- elementary school
- reinforcement learning