Incorporating uncertainties in student response modeling by loss function regularization.
Xinyi DingEric C. LarsonPublished in: Neurocomputing (2020)
Keyphrases
- loss function
- reproducing kernel hilbert space
- regularization term
- risk minimization
- hinge loss
- solution path
- convex loss functions
- stochastic gradient descent
- learning to rank
- pairwise
- gradient boosting
- empirical risk
- support vector
- loss minimization
- bregman divergences
- boosting framework
- logistic regression
- uniform convergence
- information retrieval
- data dependent
- boosting algorithms
- cost function
- multi class
- machine learning