Active Feature-Value Acquisition
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Abstract
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DOI: 10.1287/mnsc.1080.0952
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References listed on IDEAS
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Cited by:
- Meghana Deodhar & Joydeep Ghosh & Maytal Saar-Tsechansky & Vineet Keshari, 2017. "Active Learning with Multiple Localized Regression Models," INFORMS Journal on Computing, INFORMS, vol. 29(3), pages 503-522, August.
- Zhepeng Li & Xiao Fang & Xue Bai & Olivia R. Liu Sheng, 2017. "Utility-Based Link Recommendation for Online Social Networks," Management Science, INFORMS, vol. 63(6), pages 1938-1952, June.
- Shantanu Gupta & Zachary C. Lipton & David Childers, 2021. "Efficient Online Estimation of Causal Effects by Deciding What to Observe," Papers 2108.09265, arXiv.org, revised Oct 2021.
- Kaiquan Xu & Stephen Shaoyi Liao & Raymond Y. K. Lau & J. Leon Zhao, 2014. "Effective Active Learning Strategies for the Use of Large-Margin Classifiers in Semantic Annotation: An Optimal Parameter Discovery Perspective," INFORMS Journal on Computing, INFORMS, vol. 26(3), pages 461-483, August.
- Xiaoping Liu & Xiao-Bai Li & Sumit Sarkar, 2023. "Cost-Restricted Feature Selection for Data Acquisition," Management Science, INFORMS, vol. 69(7), pages 3976-3992, July.
- 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.
- Hung-Pin Kao & Kwei Tang, 2014. "Cost-Sensitive Decision Tree Induction with Label-Dependent Late Constraints," INFORMS Journal on Computing, INFORMS, vol. 26(2), pages 238-252, May.
- Jing Wang & Panagiotis G. Ipeirotis & Foster Provost, 2017. "Cost-Effective Quality Assurance in Crowd Labeling," Information Systems Research, INFORMS, vol. 28(1), pages 137-158, March.
- Fan Zhou & Kunpeng Zhang & Bangying Wu & Yi Yang & Harry Jiannan Wang, 2021. "Unifying Online and Offline Preference for Social Link Prediction," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1400-1418, October.
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Keywords
information acquistion; predictive modeling; active learning; active feature acquisition; data mining; machine learning; business intelligence; imputation; utility-based data mining;All these keywords.
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