A solution to the ill-conditioned GPS accuracy classification problem: Context based classifier.
Nabil Mohamed DrawilHaitham AmarOtman BasirPublished in: GLOBECOM Workshops (2011)
Keyphrases
- classification accuracy
- classification rate
- fold cross validation
- individual classifiers
- high classification accuracy
- higher classification accuracy
- classification scheme
- support vector machine
- classification algorithm
- classification process
- class labels
- support vector
- decision trees
- training set
- feature space
- unseen data
- svm classifier
- multiple classifier systems
- improving classification accuracy
- learning vector quantization
- support vector machine classifier
- associative classifiers
- roc analysis
- roc curve
- correctly classified
- confusion matrix
- feature selection
- classification method
- feature set
- multiclass classification
- classification models
- nearest neighbor classifier
- combination of multiple classifiers
- highest accuracy
- training data
- accuracy rate
- generalization ability
- classifier combination
- multiple classifiers
- training samples
- support vector machine svm
- leave one out cross validation
- probabilistic classifiers
- naive bayes classifier
- misclassification rate
- classification performances
- classifier ensemble
- highly skewed
- multi class
- final classification
- feature reduction
- confidence estimates
- bayesian classifier
- feature vectors
- cost sensitive
- class distribution
- decision boundary
- k nearest neighbour
- machine learning
- random selection
- learning algorithm
- receiver operating characteristic curves
- multi category
- active learning
- discriminative classifiers
- semi supervised
- supervised learning
- decision tree classifiers