Deep Neural Network for Constraint Acquisition Through Tailored Loss Function.
Eduardo VyhmeisterRocio PaezGabriel González-CastañéPublished in: ICCS (5) (2024)
Keyphrases
- loss function
- neural network
- pairwise
- pairwise constraints
- support vector
- learning to rank
- boosting framework
- hinge loss
- back propagation
- logistic regression
- empirical risk
- reproducing kernel hilbert space
- risk minimization
- regularization term
- stochastic gradient descent
- training algorithm
- bp neural network
- bayes rule