Open AccessPRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
Author(s) -
Suraj Kothawade,
Vishal Kaushal,
Ganesh Ramakrishnan,
Jeff Bilmes,
Rishabh Iyer
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.v36i9.21264
Subject(s) - submodular set function , automatic summarization , computer science , class (philosophy) , prism , parameterized complexity , selection (genetic algorithm) , set (abstract data type) , information retrieval , machine learning , variety (cybernetics) , representation (politics) , artificial intelligence , data science , data mining , algorithm , mathematics , physics , combinatorics , politics , law , political science , optics , programming language
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