| Autor: |
Bagnall, Anthony, Flynn, Michael, Large, James, Lines, Jason, Middlehurst, Matthew |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0), Lecture Notes in Computer Science book series (LNAI,volume 12588), 2000 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1007/978-3-030-65742-0_1 |
| Popis: |
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification. Since it was first proposed in 2016, the algorithm has undergone some minor changes and there is now a configurable, scalable and easy to use version available in two open source repositories. We present an overview of the latest stable HIVE-COTE, version 1.0, and describe how it differs to the original. We provide a walkthrough guide of how to use the classifier, and conduct extensive experimental evaluation of its predictive performance and resource usage. We compare the performance of HIVE-COTE to three recently proposed algorithms using the aeon toolkit. |
| Databáze: |
arXiv |
| Externí odkaz: |
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