LSPIA, (stochastic) gradient descent, and parameter correction.
Dany RiosBert JüttlerPublished in: J. Comput. Appl. Math. (2022)
Keyphrases
- stochastic gradient descent
- regularization parameter
- least squares
- matrix factorization
- loss function
- step size
- random forests
- support vector machine
- multiple kernel learning
- weight vector
- cross validation
- logistic regression
- parameter estimation
- maximum likelihood
- collaborative filtering
- small number
- feature vectors