articleJournal of Machine Learning ResearchJun 1, 2008Closed access

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

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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Authors

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Topics & keywords

Keywords
  • Algorithm
  • Gaussian
  • Gaussian process
  • Computer science
  • Empirical research
  • Mathematical optimization
  • Mathematics
  • Statistics
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