Algorithmic Probability of Large Datasets and the Simplicity Bubble Problem in Machine Learning.
Felipe S. AbrahãoHector ZenilFábio PortoKlaus WehmuthPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning methods
- data mining
- machine learning algorithms
- artificial intelligence
- learning problems
- probability distribution
- knowledge acquisition
- posterior probability
- pattern recognition
- bayesian networks
- reinforcement learning
- support vector machine
- natural language processing
- inductive learning
- learning systems
- feature selection
- model selection
- benchmark datasets
- database
- confidence levels
- raw data
- semi supervised learning
- computational intelligence
- text mining
- object detection
- information extraction
- natural language
- decision trees
- neural network