An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects.
Sean E. LakeChao-Wei TsaiPublished in: CoRR (2022)
Keyphrases
- machine learning
- training set
- supervised learning
- object classes
- training data
- active learning
- data objects
- moving objects
- test set
- classification accuracy
- pattern recognition
- data sets
- machine learning methods
- computer vision
- machine learning algorithms
- d objects
- object model
- nearest neighbor
- test images
- learning systems
- knowledge acquisition
- natural language processing
- information extraction
- support vector machine
- knowledge discovery
- computer science
- feature selection
- text mining
- computational intelligence
- training examples
- knowledge representation
- decision trees
- artificial intelligence
- explanation based learning
- spatial objects
- inductive bias