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June 1, 2008Journal of Machine Learning Research

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies

KrauseAndreas SinghAjit GuestrinCarlos

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Abstract

When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to address this task,...

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KrauseAndreas et al. (2008) studied this question.

synapsesocial.com/papers/6a15696215658026c0825458 https://doi.org/10.5555/1390681.1390689

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