Active Learning with Multiple Localized Regression Models
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Abstract
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DOI: 10.1287/ijoc.2016.0732
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References listed on IDEAS
- Maytal Saar-Tsechansky & Prem Melville & Foster Provost, 2009. "Active Feature-Value Acquisition," Management Science, INFORMS, vol. 55(4), pages 664-684, April.
- Zhiqiang Zheng & Balaji Padmanabhan, 2006. "Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution," Management Science, INFORMS, vol. 52(5), pages 697-712, May.
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Cited by:
- Bag, Sujoy & Tiwari, Manoj Kumar & Chan, Felix T.S., 2019. "Predicting the consumer's purchase intention of durable goods: An attribute-level analysis," Journal of Business Research, Elsevier, vol. 94(C), pages 408-419.
- Xuan Bi & Mochen Yang & Gediminas Adomavicius, 2024. "Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations," Information Systems Research, INFORMS, vol. 35(1), pages 339-362, March.
- Shao-Bo Lin & Shaojie Tang & Yao Wang & Di Wang, 2022. "Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3096-3116, November.
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Keywords
big data; local regression models; predictive models; information acquisition; active learning;All these keywords.
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