Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection.
Ping ZhangBrijesh K. VermaKuldeep KumarPublished in: Pattern Recognit. Lett. (2005)
Keyphrases
- feature selection
- feature set
- feature space
- feature selection algorithms
- support vector
- bayes classifier
- feature subset
- network architecture
- small sample
- neural network
- neural classifier
- support vector machine
- mutual information
- classification performances
- input features
- text categorization
- text classification
- feature weighting
- bayesian classifier
- statistical analysis
- feature ranking
- feature reduction
- fold cross validation
- higher classification accuracy
- feature selection and classifier
- classification models
- high dimensionality
- feature extraction
- dimensionality reduction
- model selection
- instance selection
- selected features
- classification algorithm
- classification accuracy
- irrelevant features
- unsupervised learning
- information gain
- permutation tests
- learning algorithm
- automatic relevance determination
- wrapper method
- artificial neural networks
- data sets
- knn
- class labels
- selection criterion
- linear classifiers
- extracted features
- microarray data
- ensemble learning