Multiple Kernel Learning from Noisy Labels by Stochastic Programming
Tianbao YangMehrdad MahdaviRong JinLijun ZhangYang ZhouPublished in: CoRR (2012)
Keyphrases
- stochastic programming
- multiple kernel learning
- multistage
- linear program
- kernel learning
- linear combination
- multiple features
- kernel methods
- semi supervised learning
- kernel function
- learning problems
- robust optimization
- multi label
- maximum margin
- feature selection
- binary classification
- support vectors
- training set
- training data
- machine learning
- machine learning algorithms
- markov random field
- decision trees
- dynamic programming
- support vector