A calibrated asymptotic framework for analyzing packet classification algorithms on GPUs.
Mahdi AbbasiMilad RafieePublished in: J. Supercomput. (2019)
Keyphrases
- worst case
- computational cost
- machine learning
- classification algorithm
- significant improvement
- machine learning methods
- benchmark datasets
- classification accuracy
- image classification
- machine learning algorithms
- feature selection
- learning algorithm
- data structure
- times faster
- classification method
- support vector machine svm
- probabilistic model
- decision trees
- support vector machine
- feature extraction
- neural network
- large scale data sets
- parallel architectures
- graphics processing units
- multiple kernel learning
- feature selection algorithms
- pattern recognition
- computational complexity
- class labels
- feature space
- lower bound
- optimization problems
- general purpose