Multiple Kernel Learning from Noisy Labels by Stochastic Programming.
Tianbao YangMehrdad MahdaviRong JinLijun ZhangYang ZhouPublished in: ICML (2012)
Keyphrases
- stochastic programming
- multiple kernel learning
- multistage
- linear program
- linear combination
- kernel learning
- learning problems
- kernel methods
- multiple features
- robust optimization
- training data
- maximum margin
- feature selection
- semi supervised learning
- class labels
- learning models
- kernel function
- training examples
- small number
- image retrieval
- linear programming
- multi task
- binary classification
- pairwise
- training set
- multi label
- training samples
- semi supervised
- multi class
- dynamic programming
- feature extraction