Keyphrases
- loss function
- support vector
- hinge loss
- learning to rank
- gaussian kernel
- reproducing kernel hilbert space
- maximum likelihood
- stochastic gradient descent
- support vector machine svm
- pairwise
- semi supervised
- multi class
- particle swarm optimization
- gaussian kernels
- optimal parameters
- ranking svm
- risk minimization
- support vector machine
- knn
- training set
- empirical risk
- convex loss functions
- coordinate descent method
- particle swarm optimization pso
- multi class classification
- pso algorithm
- machine learning
- svm classifier
- active learning
- feature selection