Memory Classifiers: Two-stage Classification for Robustness in Machine Learning.
Souradeep DuttaYahan YangElena BernardisEdgar DobribanInsup LeePublished in: CoRR (2022)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- decision trees
- supervised classification
- machine learning approaches
- classification systems
- feature selection
- roc analysis
- classification method
- pattern recognition
- support vector machine
- classifier combination
- classification rate
- text classification
- classification algorithm
- classification process
- support vector
- classification models
- training set
- training data
- multiclass classification
- svm classifier
- multiple classifier systems
- correctly classified
- classification accuracy
- improves the classification accuracy
- k nearest neighbour
- classification procedure
- discriminant functions
- supervised machine learning
- training samples
- model selection
- probabilistic classifiers
- decision boundary
- bayesian classifier
- learning algorithm
- associative classifiers
- final classification
- feature extraction
- feature vectors
- majority voting
- supervised learning
- feature set
- extracted features
- support vector machine classifiers
- class labels
- imbalanced data sets
- classification decisions
- multi category
- rule based classifier
- accurate classifiers
- support vector machine svm
- image classification
- active learning
- accurate classification
- feature selection algorithms
- training examples
- naive bayes
- knn