A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers.
Zahra HajirahimiMehdi KhasheiNegar BakhtiarvandPublished in: Appl. Soft Comput. (2024)
Keyphrases
- support vector
- training data
- shared memory
- linear classifiers
- parallel processing
- feature set
- svm classifier
- feature selection
- linear support vector machines
- parallel computing
- machine learning algorithms
- decision trees
- training set
- test set
- weighted voting
- feature weighting
- similarity measure
- classification rate
- global optimum
- classification models
- semi supervised
- weighting scheme
- linear systems
- machine learning methods
- classifier ensemble
- distributed memory
- neural network
- naive bayes
- directional features