An information theoretic approach to reducing algorithmic bias for machine learning.
Jin-Young KimSung-Bae ChoPublished in: Neurocomputing (2022)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- feature selection
- decision trees
- pattern recognition
- knowledge acquisition
- text classification
- computer vision
- variance reduction
- data mining
- machine learning approaches
- learning tasks
- data analysis
- inductive bias
- machine learning and data mining
- inductive learning
- learning problems
- information retrieval
- learning systems
- learning algorithm
- computational intelligence
- natural language processing
- semi supervised learning
- knowledge discovery in databases
- multiscale
- bias variance analysis