Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey.
Punit KumarAtul GuptaPublished in: J. Comput. Sci. Technol. (2020)
Keyphrases
- active learning
- regression problems
- selective sampling
- relevance feedback
- support vector
- classification accuracy
- machine learning
- supervised classification
- data objects
- clustering method
- response time
- classification and regression problems
- database
- unsupervised learning
- model selection
- query processing
- class imbalance
- regression model
- unsupervised clustering
- decision trees
- supervised learning
- training set
- clustering algorithm
- learning algorithm
- self organizing maps
- clustering analysis
- cross validation
- batch mode active learning
- feature vectors
- high dimensionality
- high dimensional data
- feature selection
- query expansion
- multi variate
- image classification
- numeric values
- active learning strategies
- annotation effort
- predictive clustering trees
- cost sensitive
- support vector machine svm
- text classification
- information retrieval systems
- support vector machine
- knn
- data sources
- k means
- learning process
- training data
- data sets