Staging User Feedback toward Rapid Conflict Resolution in Data Fusion
Summary: Staging user feedback to rapidly resolve conflicts in data fusion; leverages source consensus and fusion output to prioritize items for validation. Introduces a VPI-based decision-theoretic framework with scalable approximations to rank items by expected information gain, yielding improved fusion accuracy with limited feedback on real datasets. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Romila Pradhan
- 2. Siarhei Bykau
- 3. Sunil Prabhakar
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