A comparative study on large scale kernelized support vector machines.
Daniel HornAydin DemirciogluBernd BischlTobias GlasmachersClaus WeihsPublished in: Adv. Data Anal. Classif. (2018)
Keyphrases
- support vector
- kernel function
- learning machines
- large margin classifiers
- small scale
- kernel methods
- cross validation
- support vector machine
- real life
- classification accuracy
- loss function
- logistic regression
- svm classifier
- web scale
- radial basis function
- multi class classification
- generalization ability
- binary classification
- support vectors
- real world
- learning vector quantization
- machine learning
- parallel machines
- feature selection
- hyperplane
- website
- real time
- decision trees