A Granular Resampling Method and Adaptive Speculative Mechanism-Based Energy-Efficient Architecture for Multiclass Heartbeat Classification.
Yin XuZhijian ChenFeiteng LiJianyi MengPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2019)
Keyphrases
- multi class
- support vector machine
- binary classifiers
- kernel fisher
- multi class classifier
- classification accuracy
- energy efficient
- binary and multi class
- support vector machine svm
- pairwise
- multiclass classification
- multi class classification
- classification algorithm
- machine learning methods
- machine learning
- multiclass problems
- feature selection
- cross validation
- svm classifier
- training samples
- text classification
- binary classification problems
- error correcting output codes
- feature vectors
- multiclass support vector machines
- decision trees
- energy consumption
- data transmission
- image classification
- multiple classes
- cost sensitive classification