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pro vyhledávání: '"Joshua Plasse"'
Publikováno v:
Data Mining and Knowledge Discovery. 35:1287-1316
Sequentially detecting multiple changepoints in a data stream is a challenging task. Difficulties relate to both computational and statistical aspects, and in the latter, specifying control parameters is a particular problem. Choosing control paramet
Autor:
Joshua Plasse, Niall M. Adams
Publikováno v:
Statistics and Computing. 29:1109-1125
The need for efficient tools is pressing in the era of big data, particularly in streaming data applications. As data streams are ubiquitous, the ability to accurately detect multiple changepoints, without affecting the continuous flow of data, is an
Publikováno v:
Data Mining and Knowledge Discovery. 35:1317-1317
Publikováno v:
ICDM Workshops
Cyber-physical systems - systems that incorporate physical devices with cyber components - are appearing in diverse applications, and due to advances in data acquisition, are accompanied with large amounts of data. The interplay between the cyber and
Autor:
Niall M. Adams, Joshua Plasse
Publikováno v:
IEEE BigData
Streaming classification is well studied in the machine learning community. In real-world applications labels for previously observed feature vectors may only arrive after appreciable lag — that is, the labels are delayed. These delayed labels are