Training Data Expansion for Classification between Normal and Abnormal Lung Sounds.
Naoki UmenoMasaru YamashitaHiroyuki TakadaShoichi MatsunagaPublished in: APSIPA (2019)
Keyphrases
- training data
- classification accuracy
- lung disease
- training set
- decision trees
- classification models
- supervised learning
- training samples
- feature vectors
- class labels
- support vector machine
- pattern recognition
- feature selection
- benchmark datasets
- machine learning
- automatic classification
- data sets
- neural network
- feature values
- training dataset
- classification scheme
- training process
- pattern classification
- classification algorithm
- feature space
- learning algorithm
- multi class
- lung cancer
- unseen data
- multifractal analysis