Distributed autoencoder classifier network for small-scale and scattered COVID-19 dataset classification.
Yuan YangLin ZhangLei RenXiaohan WangPublished in: Int. J. Imaging Syst. Technol. (2023)
Keyphrases
- small scale
- classification method
- classification scheme
- classification process
- feature set
- fold cross validation
- support vector machine
- peer to peer
- classification algorithm
- distributed network
- svm classifier
- training dataset
- high classification accuracy
- training set
- classification rate
- support vector
- classification accuracy
- computer networks
- final classification
- k nearest neighbour
- learning vector quantization
- feature selection
- communication overhead
- benchmark datasets
- training samples
- class labels
- nearest neighbor classifier
- feature space
- higher classification accuracy
- decision trees
- support vector machine svm
- classification models
- knn
- multi layer perceptron
- restricted boltzmann machine
- learning phase
- probabilistic classifiers
- communication cost
- binary classifiers
- bayesian classifier
- multi category
- distributed systems
- larger scale
- feature extraction
- probabilistic neural network
- associative classifiers
- wireless sensor networks
- image classification
- network structure
- k nearest
- multiclass classification
- supervised classification
- training data
- data sets
- text classification
- multiple classifiers
- pattern classification
- extracted features
- naive bayes classifier