Support Vector Regression via a Combined Reward Cum Penalty Loss Function.
Pritam AnandReshma RastogiSuresh ChandraPublished in: CoRR (2019)
Keyphrases
- loss function
- support vector regression
- support vector
- solution path
- pairwise
- support vector machine svm
- kernel function
- hybrid model
- regression model
- support vector classification
- bayes risk
- empirical risk
- risk minimization
- boosting algorithms
- logistic regression
- data sets
- reproducing kernel hilbert space
- cross validation
- pattern recognition
- reinforcement learning
- pairwise constraints
- boosting framework
- convex loss functions
- stochastic gradient descent
- regression method
- regularization term
- hyperparameters
- image restoration
- objective function
- machine learning
- neural network