Deep Neural Network for Constraint Acquisition through Tailored Loss Function.
Eduardo VyhmeisterRocio PaezGabriel GonzalezPublished in: CoRR (2024)
Keyphrases
- loss function
- neural network
- pairwise constraints
- pairwise
- learning to rank
- support vector
- logistic regression
- back propagation
- risk minimization
- reproducing kernel hilbert space
- empirical risk
- boosting algorithms
- regularization term
- stochastic gradient descent
- boosting framework
- hinge loss
- convex loss functions
- solution path
- training algorithm
- machine learning