Open AccessA Scalable and Extensible Framework for Superposition-Structured Models
Author(s) -
Shenjian Zhao,
Cong Xie,
Zhihua Zhang
Publication year - 2016
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.v30i1.10216
Subject(s) - interpretability , superposition principle , computer science , scalability , generalization , rate of convergence , extensibility , convergence (economics) , conic section , theoretical computer science , artificial intelligence , machine learning , lasso (programming language) , simple (philosophy) , algorithm , mathematical optimization , mathematics , key (lock) , mathematical analysis , geometry , computer security , database , economics , economic growth , philosophy , epistemology , world wide web , operating system
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