Active Learning of Classifiers with Label and Seed Queries.
Marco BressanNicolò Cesa-BianchiSilvio LattanziAndrea PaudiceMaximilian ThiessenPublished in: CoRR (2022)
Keyphrases
- active learning
- unlabeled instances
- training set
- training examples
- active learning framework
- class labels
- query language
- machine learning algorithms
- label noise
- query processing
- learning algorithm
- semi supervised
- support vector
- labeled data
- hyperspectral image classification
- training data
- multi label classification
- query evaluation
- classification algorithm
- unlabeled data
- feature selection
- supervised learning
- retrieval systems
- multi label
- linear classifiers
- labeling effort
- query by committee
- relevance feedback
- range queries
- text categorization
- random sampling
- co training
- training samples
- database
- active learner