Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks.
Ilya KachalskyAlexey ZabashtaAndrey FilchenkovGeorgiy KorneevPublished in: ICAAI (2019)
Keyphrases
- accurate classifiers
- classification method
- associative classifiers
- classification systems
- classification algorithm
- support vector
- decision trees
- classification models
- svm classifier
- supervised classification
- classification rate
- classification process
- training set
- decision boundary
- probabilistic classifiers
- classification accuracy
- training samples
- multi category
- classifier combination
- feature selection
- discriminative classifiers
- rule based classifier
- class labels
- support vector machine
- benchmark datasets
- k nearest neighbour
- social networks
- classification decisions
- accurate classification
- discriminative learning
- support vector machine svm
- machine learning methods
- improves the classification accuracy
- roc curve
- unsupervised learning
- ensemble classifier
- optimum path forest
- feature vectors
- machine learning algorithms
- extracted features
- binary classification problems
- bayesian network classifiers
- imbalanced data
- feature set
- binary classification tasks
- multiple classifiers
- multiple classifier systems
- training data
- individual classifiers
- linear svm
- majority voting
- multi label classification
- binary classifiers
- naive bayes
- training dataset
- generative model
- classifier ensemble
- robust classification
- classification trees
- feature extraction
- ensemble methods