Shedding light on underrepresentation and Sampling Bias in machine learning.
Sami ZhiouaRuta BinkytePublished in: CoRR (2023)
Keyphrases
- machine learning
- machine learning methods
- inductive bias
- computer vision
- pattern recognition
- real time
- random sampling
- sampling algorithm
- decision trees
- knowledge representation
- learning algorithm
- model selection
- knowledge acquisition
- importance sampling
- sampled data
- sample size
- explanation based learning
- machine learning algorithms
- support vector machine
- computer science
- artificial intelligence
- skewed data
- semi supervised learning
- variance reduction
- low variance
- imbalanced class distribution
- machine learning approaches
- learning tasks
- monte carlo
- unsupervised learning
- supervised learning
- genetic algorithm
- data sets