Algorithmic Bias and Regularisation in Machine Learning.
Padraig CunninghamSarah Jane DelanyPublished in: CoRR (2020)
Keyphrases
- machine learning
- model selection
- inductive bias
- learning tasks
- data mining
- explanation based learning
- machine learning and data mining
- feature selection
- computer vision
- pattern recognition
- artificial intelligence
- machine learning methods
- learning problems
- statistical methods
- transfer learning
- unsupervised learning
- knowledge acquisition
- active learning
- real time
- machine learning algorithms
- text classification
- computational intelligence
- domain knowledge
- evolutionary algorithm
- knowledge engineering
- computational biology
- computer science
- reinforcement learning
- learning algorithm
- bias variance analysis