Systematic Bias in Sample Inference and its Effect on Machine Learning.
Owen O'NeillFintan CostelloPublished in: CoRR (2023)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- data mining
- pattern recognition
- knowledge representation
- learning algorithm
- computer vision
- machine learning and data mining
- bayesian networks
- machine learning approaches
- knowledge discovery
- statistical inference
- probabilistic inference
- kernel methods
- inference process
- learning systems
- model selection
- knowledge acquisition
- text mining
- support vector machine
- active learning
- artificial intelligence
- computer science
- feature selection
- decision trees
- reinforcement learning
- inductive bias
- text classification
- inference engine
- bayesian inference
- random fields
- natural language
- inductive learning
- qualitative and quantitative
- learning problems
- learning tasks
- expert systems
- semi supervised learning