A hybrid convolutional neural network approach for feature selection and disease classification.
Prajna Paramita DebetaPuspanjali MohapatraPublished in: Turkish J. Electr. Eng. Comput. Sci. (2021)
Keyphrases
- feature selection
- convolutional neural network
- text classification
- machine learning
- classification accuracy
- feature set
- small sample
- support vector machine
- classification models
- pattern recognition
- feature selection algorithms
- feature space
- high dimensionality
- face detection
- multi class
- method for feature selection
- image classification
- feature extraction
- unsupervised learning
- text categorization
- discriminative features
- information gain
- bayesian classifier
- accurate classification
- irrelevant features
- class separability
- data sets
- model selection
- classification performances
- training set
- decision trees
- computer vision
- dna microarray
- disease diagnosis
- feature reduction
- cancer diagnosis
- select relevant features
- support vector machine svm
- feature ranking
- classification rate
- feature subset
- classification method
- mutual information
- dimensionality reduction
- training data
- learning algorithm
- neural network