A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning.
Yehuda DarVidya MuthukumarRichard G. BaraniukPublished in: CoRR (2021)
Keyphrases
- machine learning
- bias variance tradeoff
- statistical learning theory
- machine learning methods
- information extraction
- pattern recognition
- statistical learning
- machine learning approaches
- face recognition
- learning algorithm
- learning systems
- computer science
- domain theory
- explanation based learning
- topics covered include
- machine learning algorithms
- knowledge acquisition
- real time
- real world
- natural language
- data mining
- artificial intelligence
- feature selection
- theoretical basis
- database
- formal theory
- supervised machine learning
- general theory
- decision theory
- computer vision
- natural language processing
- supervised classification
- case study
- learning problems
- bayesian networks
- theoretical framework
- active learning
- knowledge discovery
- text classification
- text mining