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pro vyhledávání: '"Rajnarayan, Dev"'
Autor:
Rajnarayan, Dev Gorur.
Publikováno v:
May be available electronically.
Thesis (Ph. D.)--Stanford University, 2009.
Submitted to the Department of Aeronautics and Astronautics. Copyright by the author.
Submitted to the Department of Aeronautics and Astronautics. Copyright by the author.
Autor:
Rajnarayan, Dev, Wolpert, David
In this paper, we examine the CE method in the broad context of Monte Carlo Optimization (MCO) and Parametric Learning (PL), a type of machine learning. A well-known overarching principle used to improve the performance of many PL algorithms is the b
Externí odkaz:
http://arxiv.org/abs/0810.0877
Autor:
Rajnarayan, Dev, Wolpert, David
We present several applications of the bias-variance decomposition, beginning with straightforward Monte Carlo estimation of integrals, but progressing to the more complex problem of Monte Carlo Optimization (MCO), which involves finding a set of par
Externí odkaz:
http://arxiv.org/abs/0810.0879
Autor:
Wolpert, David H., Rajnarayan, Dev G.
This paper uncovers and explores the close relationship between Monte Carlo Optimization of a parametrized integral (MCO), Parametric machine-Learning (PL), and `blackbox' or `oracle'-based optimization (BO). We make four contributions. First, we pro
Externí odkaz:
http://arxiv.org/abs/0704.1274
Akademický článek
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