Hierarchical confounder discovery in the experiment-machine learning cycle.
Alex RogozhnikovPavan RamkumarRishi BediSaul KatoG. Sean EscolaPublished in: Patterns (2022)
Keyphrases
- machine learning
- knowledge discovery
- data mining
- machine learning methods
- learning tasks
- pattern recognition
- coarse to fine
- unsupervised learning
- knowledge acquisition
- decision trees
- data analysis
- hierarchical clustering
- machine learning approaches
- support vector machine
- scientific discovery
- machine learning and data mining
- discovery process
- kernel methods
- hierarchical classification
- real time
- semi supervised learning
- data sets
- artificial intelligence
- active learning
- text mining
- learning problems
- model selection
- inductive logic programming
- computer science
- statistical learning
- computer vision
- explanation based learning
- statistical methods
- learning algorithm
- hierarchical model
- genetic algorithm
- learning systems