A bagging and importance sampling approach to Support Vector Machines.
R. BárcenasMaría D. González-LimaAdolfo J. QuirozPublished in: CoRR (2018)
Keyphrases
- importance sampling
- learning machines
- support vector
- monte carlo
- variance reduction
- markov chain
- ensemble learning
- approximate inference
- kalman filter
- particle filter
- learning algorithm
- hyperparameters
- model selection
- particle filtering
- posterior distribution
- support vector machine
- markov chain monte carlo
- cross validation
- pairwise
- generalization ability
- machine learning
- latent variables
- ensemble methods
- training set
- video sequences
- image segmentation
- generalization bounds
- genetic algorithm