Classification of chestnuts with feature selection by noise resilient classifiers.
Elena RogliaRossella CancelliereRosa MeoPublished in: ESANN (2008)
Keyphrases
- feature selection
- classification models
- support vector
- classification accuracy
- feature set
- feature selection algorithms
- support vector machine
- higher classification accuracy
- feature subset
- classification systems
- accurate classification
- classification algorithm
- text classification
- classification performances
- bayes classifier
- feature ranking
- naive bayes
- svm classifier
- classification method
- decision trees
- ensemble classifier
- machine learning
- text categorization
- training data
- feature space
- high dimensionality
- training set
- small sample
- classification rate
- feature reduction
- class labels
- model selection
- supervised classification
- classification process
- feature extraction
- selected features
- image classification
- fold cross validation
- bayesian classifier
- discriminative features
- support vector machine svm
- multi category
- multiple classifiers
- classification decisions
- irrelevant features
- supervised learning
- decision boundary
- method for feature selection
- training samples
- k nearest neighbour
- multiclass classification
- classifier ensemble
- imbalanced data
- linear svm
- text classifiers
- feature vectors
- feature subspace
- irrelevant attributes
- probabilistic classifiers
- binary classification tasks
- accurate classifiers
- multiple classifier systems
- missing data
- machine learning algorithms
- multi class
- learning algorithm