Classification of some dementia types due to feature selection with artificial neural networks.
Savas OkyayNihat AdarKemal ÖzkanSuzan SaylisoyBelgin Demet Ozbabalik AdapinarBaki AdapinarPublished in: SIU (2016)
Keyphrases
- feature selection
- artificial neural networks
- classification accuracy
- support vector
- feature space
- text classification
- machine learning
- feature extraction
- classification models
- feature set
- support vector machine
- model selection
- classification performances
- mutual information
- using artificial neural networks
- feature selection algorithms
- image classification
- high dimensionality
- discriminative features
- method for feature selection
- training set
- pattern classification
- conditional mutual information
- feature weighting
- generalization ability
- bayes classifier
- cross validation
- svm classifier
- pattern recognition
- unsupervised learning
- computational intelligence
- supervised learning
- semi supervised
- decision trees
- support vector classification
- select relevant features
- data pre processing
- neural network
- automatic relevance determination
- small sample
- feature ranking
- instance selection
- extracted features
- multi task
- information gain
- support vector machine svm
- text categorization
- feature vectors
- genetic algorithm