Reconciling modern machine learning and the bias-variance trade-off.
Mikhail BelkinDaniel HsuSiyuan MaSoumik MandalPublished in: CoRR (2018)
Keyphrases
- bias variance
- trade off
- machine learning
- bias variance analysis
- bias variance decomposition
- machine learning methods
- data mining
- inductive learning
- learning systems
- data sets
- learning algorithm
- reinforcement learning
- data analysis
- low variance
- learning tasks
- model selection
- machine learning algorithms
- computer science
- knowledge discovery
- learning problems
- artificial intelligence
- pattern recognition
- information extraction
- natural language processing
- monte carlo
- inductive logic programming
- decision trees
- ensemble methods
- active learning
- prior knowledge