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Design of experiments / Optimal design / Quality / Submodular set function / Breadth-first search / Markov random field / Gaussian process / Mathematical optimization / Reinforcement learning / Statistics / Operations research / Search algorithms


Σ-Optimality for Active Learning on Gaussian Random Fields Yifei Ma Machine Learning Department Carnegie Mellon University [removed]
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Document Date: 2014-09-10 18:51:31

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City

Cambridge / /

Company

Neural Information Processing Systems / /

Country

United States / /

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Facility

College Student Development / Carnegie Mellon University / Roman Garnett Computer Science Department University / A Roman Garnett Computer Science Department University / University of Wisconsin / /

IndustryTerm

greedy solution / greedy applications / intuitive algorithms / active learning algorithm / greedy solutions / genetic algorithms / greedy sequential update algorithm / data mining / breadth-first search / active search / career services / computing / cross products / /

Organization

National Science Foundation / MIT / International Society for Optics and Photonics / Carnegie Mellon University / University of Wisconsin / Madison / University of Bonn / /

Person

Roman Garnett / Anthony Man-Cho / Carl Edward / Jeff Schneider / Kevin W. Openord / Marshall L. An / David A. Suppressor / /

Position

Walker / LP model for predictions / Fisher / Marshall / Fisher / /

ProgrammingLanguage

V / C / /

ProvinceOrState

Wisconsin / Massachusetts / /

PublishedMedium

Journal of College Student Development / Machine Learning / Journal of Machine Learning Research / /

Technology

active learning algorithm / greedy sequential update algorithm / GPS / data mining / Machine Learning / /

URL

http /

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