Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees | Zendy

Yaman Kumar | Zendy; S. Vamshi Krishna | Zendy; Rajiv Ratn Shah | Zendy; Changyou Chen | Zendy

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Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees

Author(s) -

Yaman Kumar,

S. Vamshi Krishna,

Rajiv Ratn Shah,

Changyou Chen

Publication year - 2022

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v36i11.21563

Subject(s) - computer science , sampling (signal processing) , reliability (semiconductor) , machine learning , popularity , quality (philosophy) , variety (cybernetics) , task (project management) , artificial intelligence , raw score , test (biology) , government (linguistics) , raw data , detector , psychology , telecommunications , social psychology , power (physics) , philosophy , physics , paleontology , management , linguistics , epistemology , quantum mechanics , economics , biology , programming language

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