Using Parallel Combined Classifiers to Improve Classification of Proteins.
Dong WangJizhou SunFuchao LiPublished in: ICNC (2) (2009)
Keyphrases
- classification models
- classification systems
- support vector
- classification algorithm
- decision trees
- supervised classification
- classification rate
- classification method
- accurate classification
- classification process
- training set
- class labels
- svm classifier
- improves the classification accuracy
- classification accuracy
- machine learning methods
- final classification
- feature extraction
- classification procedure
- feature selection
- multi category
- text classification
- probabilistic classifiers
- individual classifiers
- machine learning algorithms
- support vector machine svm
- training samples
- decision boundary
- multiple classifier systems
- k nearest neighbour
- multiple classifiers
- accurate classifiers
- feature set
- pattern recognition
- supervised learning
- associative classifiers
- combining classifiers
- optimum path forest
- classifier combination
- rule based classifier
- majority voting
- ensemble classifier
- training data
- nearest neighbor classifier
- protein classification
- binary classifiers
- bayesian classifier
- discriminative classifiers
- multiclass classification
- classifier ensemble
- higher classification accuracy
- correctly classified
- protein protein interactions
- imbalanced data sets
- extracted features
- support vector machine classifiers
- roc curve
- feature ranking
- data stream classification
- classification decisions
- image classification
- support vector machine