Massively parallelized support vector machines based on GPU-accelerated multiplicative updates.
Connie Khor Li KouChao-Hui HuangPublished in: CIDM (2014)
Keyphrases
- gpu accelerated
- support vector
- learning machines
- large margin classifiers
- finite element
- real time
- classification accuracy
- logistic regression
- cross validation
- parallel computing
- generalization ability
- kernel function
- support vector machine
- loss function
- massively parallel
- feature selection
- svm classifier
- kernel methods
- maximum margin
- computer vision
- statistically significant
- radial basis function
- back propagation
- artificial neural networks
- sequence alignment