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Bayesian nonparametric extraction of hidden contexts from pervasive honest signals
Version 2 2024-06-05, 11:47Version 2 2024-06-05, 11:47
Version 1 2015-03-16, 15:51Version 1 2015-03-16, 15:51
conference contribution
posted on 2024-06-05, 11:47 authored by T NguyenHidden patterns and contexts play an important part in intelligent pervasive systems. Most of the existing works have focused on simple forms of contexts derived directly from raw signals. High-level constructs and patterns have been largely neglected or remained under-explored in pervasive computing, mainly due to the growing complexity over time and the lack of efficient principal methods to extract them. Traditional parametric modeling approaches from machine learning find it difficult to discover new, unseen patterns and contexts arising from continuous growth of data streams due to its practice of training-then-prediction paradigm. In this work, we propose to apply Bayesian nonparametric models as a systematic and rigorous paradigm to continuously learn hidden patterns and contexts from raw social signals to provide basic building blocks for context-aware applications. Bayesian nonparametric models allow the model complexity to grow with data, fitting naturally to several problems encountered in pervasive computing. Under this framework, we use nonparametric prior distributions to model the data generative process, which helps towards learning the number of latent patterns automatically, adapting to changes in data and discovering never-seen-before patterns, contexts and activities. The proposed methods are agnostic to data types, however our work shall demonstrate to two types of signals: accelerometer activity data and Bluetooth proximal data. © 2014 IEEE.
History
Pagination
168-170Location
Budapest, HungaryPublisher DOI
Start date
2014-03-24End date
2014-03-28Language
engPublication classification
E2 Full written paper - non-refereed / Abstract reviewed, E Conference publicationCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
PERCOM WORKSHOPS 2014 : Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication WorkshopsEvent
Pervasive Computing and Communications. IEEE Conference (2014 : Budapest, Hungary)Publisher
IEEEPlace of publication
Piscataway, N.J.Usage metrics
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