Detecting Metachanges in Data Streams from the Viewpoint of the MDL Principle
This paper addresses the issue of how we can detect changes of changes, which we call <i>metachanges</i>, in data streams. A metachange refers to a change in patterns of when and how changes occur, referred to as “metachanges along time” and “metachanges alo...
Main Authors: | Shintaro Fukushima, Kenji Yamanishi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-11-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/12/1134 |
Similar Items
-
On the Use of MDL Principle in Gene Expression Prediction
by: Tabus Ioan, et al.
Published: (2001-01-01) -
An MDL-Based Wavelet Scattering Features Selection for Signal Classification
by: Vittoria Bruni, et al.
Published: (2022-07-01) -
Statistical Analysis of the Performance of MDL Enumeration for Multiple-Missed Detection in Array Processing
by: Fei Du, et al.
Published: (2015-08-01) -
Model Selection for Non-Negative Tensor Factorization with Minimum Description Length
by: Yunhui Fu, et al.
Published: (2019-06-01) -
Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm
by: Anyong Qin, et al.
Published: (2020-10-01)