An Architecture of Active Learning SVMs with Relevance Feedback for Classifying E-mail
Md. Saiful IslamMd. Iftekharul AminPublished in: CoRR (2010)
Keyphrases
- relevance feedback
- active learning
- annotation effort
- support vector
- training set
- pre classified
- sample selection
- statistical learning theory
- batch mode
- machine learning
- cost sensitive
- query expansion
- spam filtering
- feature selection
- document retrieval
- information retrieval systems
- sparse kernel
- learning algorithm
- selective sampling
- classification using support vector machines
- random sampling
- training examples
- support vector machine
- supervised learning
- kernel function
- multi class
- retrieval model
- user feedback
- instant messaging
- semi supervised
- training data
- generalization ability
- unlabeled data
- binary classification
- support vector machine svm
- anti spam
- relevant documents
- active learning strategies
- retrieval framework
- maximum margin
- pseudo relevance feedback
- experimental design
- transfer learning
- learning strategies
- text classification
- feature space
- query refinement
- reduced set
- generalization error
- knn
- learning process
- active learning framework
- image retrieval
- information retrieval