Local Optimisation of Nyström Samples Through Stochastic Gradient Descent.
Matthew HutchingsBertrand GauthierPublished in: LOD (1) (2022)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- random forests
- data sets
- support vector machine
- multiple kernel learning
- spectral clustering
- training set
- genetic algorithm
- weight vector
- regularization parameter
- training samples
- convergence rate
- importance sampling
- online algorithms
- linear combination
- online learning
- support vector
- cost function
- feature space