Active Learning of Classifiers with Label and Seed Queries.
Marco BressanNicolò Cesa-BianchiSilvio LattanziAndrea PaudiceMaximilian ThiessenPublished in: NeurIPS (2022)
Keyphrases
- active learning
- class labels
- unlabeled instances
- training examples
- training set
- query language
- query processing
- training data
- web search engines
- hyperspectral image classification
- active learning framework
- decision trees
- label noise
- user queries
- database
- supervised learning
- unlabeled data
- learning algorithm
- linear classifiers
- multi label classification
- range queries
- query evaluation
- support vector
- response time
- retrieval systems
- roc curve
- majority voting
- random sampling
- machine learning
- data sets
- multi label
- classification algorithm
- svm classifier
- machine learning algorithms
- cost sensitive
- database queries
- co training
- test set
- naive bayes
- information retrieval
- feature set
- relevance feedback
- query by committee
- semi supervised