Dendrite morphological neurons trained by stochastic gradient descent.
Erik ZamoraHumberto SossaPublished in: SSCI (2016)
Keyphrases
- stochastic gradient descent
- least squares
- matrix factorization
- loss function
- step size
- random forests
- neural network
- support vector machine
- weight vector
- svm classifier
- image processing
- regularization parameter
- multiscale
- training process
- training set
- support vector
- hidden layer
- multiple kernel learning
- importance sampling
- online algorithms
- principal components
- convergence rate
- benchmark datasets
- cost function
- logistic regression
- training data
- small number