Why LASSO Seems to Simultaneously Decrease Bias and Variance in Machine Learning.
Jochen MerkerGregor SchuldtPublished in: ICoMS (2021)
Keyphrases
- machine learning
- variance reduction
- bias variance analysis
- low variance
- feature selection
- bias variance decomposition
- learning algorithm
- model selection
- bias variance
- machine learning methods
- sample size
- decision trees
- learning tasks
- computer vision
- artificial intelligence
- knowledge acquisition
- inductive bias
- pattern recognition
- information extraction
- supervised learning
- least squares
- text classification
- unsupervised learning
- active learning
- standard deviation
- neural network
- reinforcement learning
- computer science
- data analysis
- group lasso
- variable selection
- linear regression
- inductive logic programming
- real valued
- knowledge representation
- support vector machine
- cross validation
- sparse representation
- learning systems
- machine learning algorithms
- multi class
- data sets
- computational intelligence