Multi-class E-mail Classification with a Semi-Supervised Approach Based on Automatic Feature Selection and Information Retrieval.
Juan Manuel FernándezMarcelo ErrecaldePublished in: JCC-BD&ET (2022)
Keyphrases
- multi class
- semi supervised
- multiclass classification
- multi class classifier
- support vector machine
- multi class classification
- information retrieval
- binary classifiers
- kernel logistic regression
- multi class boosting
- multiple classes
- binary and multi class
- multi class svm
- multiclass problems
- class probabilities
- pairwise
- cost sensitive
- multi class svms
- binary classification problems
- error correcting output codes
- multi class classifiers
- single class
- binary classification tasks
- feature selection
- supervised learning
- binary classification
- multi class problems
- classification accuracy
- object detection
- semi supervised learning
- decision trees
- image classification
- text mining
- support vector
- protein classification
- probabilistic boosting tree
- machine learning
- feature vectors
- multi label classification
- spam filtering
- active learning
- feature extraction
- multiple instance learning
- labeled data
- unsupervised learning
- class imbalance
- multi task
- machine learning methods
- support vector machine svm