Learning representations through stochastic gradient descent in cross-validation error.
Richard S. SuttonVivek VeeriahPublished in: CoRR (2016)
Keyphrases
- cross validation
- stochastic gradient descent
- model selection
- generalization error
- learning algorithm
- supervised learning
- regularization parameter
- least squares
- learning tasks
- learning problems
- matrix factorization
- data sets
- support vector
- training data
- upper bound
- online learning
- feature space
- loss function
- incremental learning
- hyperparameters