Learning gas distribution models using sparse Gaussian process mixtures
نویسندگان
چکیده
منابع مشابه
Learning gas distribution models using sparse Gaussian process mixtures
In this paper, we consider the problem of learning two-dimensional spatial models of gas distributions. To build models of gas distributions that can be used to accurately predict the gas concentration at query locations is a challenging task due to the chaotic nature of gas dispersal. We formulate this task as a regression problem. To deal with the specific properties of gas distributions, we ...
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ژورنال
عنوان ژورنال: Autonomous Robots
سال: 2009
ISSN: 0929-5593,1573-7527
DOI: 10.1007/s10514-009-9111-5