An exploration of how training set composition bias in machine learning affects identifying rare objects.
Sean E. LakeChao-Wei TsaiPublished in: Astron. Comput. (2022)
Keyphrases
- machine learning
- training set
- supervised learning
- active learning
- test set
- training data
- object classes
- multiple objects
- knowledge representation
- inductive bias
- data sets
- decision trees
- information extraction
- support vector machine
- nearest neighbor
- classification accuracy
- computational intelligence
- error rate
- object model
- machine learning methods
- learning tasks
- data mining
- explanation based learning
- pattern recognition
- data objects
- cross validation
- computer science
- machine learning algorithms
- model selection
- knowledge acquisition
- d objects