An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods.
Pablo Rivas-PereaJuan Cota-RuizPublished in: Pattern Recognit. Lett. (2013)
Keyphrases
- linear programming
- decomposition methods
- dynamic programming
- learning algorithm
- support vector machine
- computational complexity
- optimal solution
- training support vector machines
- np hard
- objective function
- linear program
- training process
- decomposition method
- kernel methods
- machine learning
- tree decomposition
- svm training