Towards practical theory : Bayesian optimization and optimal exploration

Towards practical theory : Bayesian optimization and optimal exploration

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.

מידע ביבליוגרפי
מחבר ראשי:	Kawaguchi, Kenji, Ph. D. Massachusetts Institute of Technology
מחברים אחרים:	Leslie P. Kaelbling and Tomas Lozano-Perez.
פורמט:	Thesis
שפה:	eng
יצא לאור:	Massachusetts Institute of Technology 2016
נושאים:	Electrical Engineering and Computer Science.
גישה מקוונת:	http://hdl.handle.net/1721.1/103670

פריטים דומים

Communication for wideband fading channels : on theory and practice
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Towards Practical Theory: Bayesian Optimization and Optimal Exploration
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Sampling in computer vision and Bayesian nonparametric mixtures
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Optimization techniques for human computation-enabled data processing systems
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Bayesian nonparametric learning with semi-Markovian dynamics
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Design, optimization, and applications of few-cycle Ti:Sapphire lasers
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Design space exploration of photonic interconnects
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Design & optimization of automotive power electronics utilizing FITMOS MOSFET technology
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