Results 111 to 120 of about 1,148,061 (201)
An encoding approach for stable change point detection
Machine LearningAbstractWithout imposing prior distributional knowledge underlying multivariate time series of interest, we propose a nonparametric change-point detection approach to estimate the number of change points and their locations along the temporal axis.
Xiaodong Wang, Fushing Hsieh
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Frontiers in Bioengineering and BiotechnologyIntroduction: Electromyographic (EMG) activity monitoring constitutes the core of foundational research for the application of EMG signals in medical diagnostics, sports science, and human-machine interaction.
Shenglin Wang, Guosheng Zhao, Yiwei Liao
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Population-based change-point detection for the identification of homozygosity islands. [PDF]
Bioinformatics, 2023 Prates L +3 more
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Bootstrap for change point detection
, 2017 In Change point detection task Likelihood Ratio Test (LRT) is sequentially applied in a sliding window procedure. Its high values indicate changes of parametric distribution in the data sequence. Correspondingly LRT values require predefined bound for their maximum.
Buzun, Nazar, Avanesov, Valeriy
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Marginal Likelihood for Markov-Switching and Change-Point Garch Models [PDF]
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC methods due to
Arnaud Dufays +2 more
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JPhys PhotonicsThe application of deep learning (DL) approaches to the study of particle diffusion is becoming increasingly widespread, achieving highly accurate predictive performance that is often challenging to attain with traditional analytical tools.
Lucas A Saavedra, Francisco J Barrantes
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Change-Point Detection in a High-Dimensional Multinomial Sequence Based on Mutual Information. [PDF]
Entropy (Basel), 2023 Xiang X, Jin B, Wu Y.
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Leveraging change point detection to discover natural experiments in data. [PDF]
EPJ Data Sci, 2022 He Y, Burghardt KA, Lerman K.
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Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming
, 2013 Classification under streaming data conditions requires that the machine learning approach operate interactively with the stream content. Thus, given some initial machine learning classification capability, it is not possible to assume that the process ...
Rahimi, Sara
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Variance changes detection in multivariate time series [PDF]
, 2004 This paper studies the detection of step changes in the variances and in the correlation structure of the components of a vector of time series. Two procedures are considered.
Peña, Daniel +3 more
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