RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning.
Mushir AkhtarM. TanveerMohd. ArshadPublished in: CoRR (2023)
Keyphrases
- loss function
- supervised learning
- pairwise
- logistic regression
- support vector
- norm regularization
- learning to rank
- hinge loss
- stochastic gradient descent
- empirical risk
- boosting framework
- reinforcement learning
- machine learning
- risk minimization
- sparse representation
- reproducing kernel hilbert space
- convex loss functions
- semi supervised learning
- unsupervised learning
- high dimensional
- training set
- convex optimization
- regularization term
- canonical correlation analysis
- support vector machine
- feature space
- objective function
- information retrieval