Eigen value based loss function for training attractors in iterated autoencoders.
Ali NouriSeyyed Ali SeyyedsalehiPublished in: Neural Networks (2023)
Keyphrases
- loss function
- stochastic gradient descent
- pairwise
- logistic regression
- learning to rank
- risk minimization
- regularization term
- support vector
- empirical risk
- reproducing kernel hilbert space
- boosting framework
- training algorithm
- boosting algorithms
- denoising
- training examples
- linear svm
- training samples
- restricted boltzmann machine
- hinge loss
- principal component analysis
- machine learning