Piecewise linear lower and upper bounds for the standard normal first order loss function.
Roberto RossiS. Armagan TarimSteven D. PrestwichBrahim HnichPublished in: Appl. Math. Comput. (2014)
Keyphrases
- loss function
- piecewise linear
- lower and upper bounds
- solution path
- lower bound
- upper bound
- pairwise
- support vector
- chaotic map
- upper and lower bounds
- logistic regression
- boosting framework
- risk minimization
- reproducing kernel hilbert space
- hyperplane
- decision trees
- learning algorithm
- lagrangian relaxation
- learning problems
- data mining
- training data
- machine learning