Linear Regression with Distributed Learning: A Generalization Error Perspective.
Martin HellkvistAyça ÖzçelikkaleAnders AhlénPublished in: CoRR (2021)
Keyphrases
- linear regression
- distributed learning
- generalization error
- least squares
- cross validation
- model selection
- training data
- active learning
- upper bound
- learning algorithm
- sample size
- regression methods
- linear classifiers
- training error
- training set
- sample complexity
- binary classification
- collaborative learning
- supervised learning
- ridge regression
- learning machines
- nonlinear regression
- knowledge integration
- regression problems
- risk minimization
- boosting algorithms
- subspace information criterion
- video sequences
- feature space
- lower bound