A Non-Parametric Bayesian Approach Towards OnlineSequence Learning

Forecasting the next sample of an incoming sequence of noisy observations is a recurring problem in several real-world applications. In general, the streamed observations may originate from a possibly non-stationary stochastic process with non-linear dynamics. Very often though, to avoid devising ex...

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Bibliographic Details
Published in:	SIGKDD explorations 2025-12, Vol.27 (2), p.156-167
Main Authors:	Dias, Stiven S., Bruno, Marcelo G. S., De Souza, Alberto F.
Format:	Article
Language:	English
Subjects:	Computing methodologies Computing methodologies / Machine learning Computing methodologies / Machine learning / Learning paradigms Computing methodologies / Machine learning / Learning paradigms / Unsupervised learning Computing methodologies / Machine learning / Learning paradigms / Unsupervised learning / Mixture modeling Information systems Information systems / Data management systems Information systems / Data management systems / Database design and models Information systems / Data management systems / Database design and models / Data model extensions Information systems / Data management systems / Database design and models / Data model extensions / Data streams Information systems / Information systems applications Information systems / Information systems applications / Data mining Information systems / Information systems applications / Data mining / Data stream mining Theory of computation Theory of computation / Design and analysis of algorithms Theory of computation / Design and analysis of algorithms / Online algorithms Theory of computation / Design and analysis of algorithms / Online algorithms / Online learning algorithms Theory of computation / Models of computation Theory of computation / Models of computation / Streaming models Theory of computation / Theory and algorithms for application domains Theory of computation / Theory and algorithms for application domains / Machine learning theory Theory of computation / Theory and algorithms for application domains / Machine learning theory / Markov decision processes Theory of computation / Theory and algorithms for application domains / Machine learning theory / Online learning theory
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