Abstract
It is the Aim of Reproducible Research to Provide Mechanisms for Objective Comparison of Methods, Algorithms, Software and Procedures in Various Research Topics. in This Paper, We Discuss the Role of Data Sets, Benchmarks and Competitions in the Fields of System Identification, Time Series Prediction, Classification, and Pattern Recognition in View of Creating an Environment of Reproducible Research. Important Elements Are the Data Sets, their Origin, and the Comparison Measures that Will Be Used to Rank the Performance of the Methods. the Issues Are Discussed, a Comparison is Made and Recommendations Are Given. © 2007 IEEE.
Recommended Citation
J. Vandewalle et al., "State-Of-The-Art and Evolution in Public Data Sets and Competitions for System Identification, Time Series Prediction and Pattern Recognition," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4, article no. 4218339, Institute of Electrical and Electronics Engineers, Aug 2007.
The definitive version is available at https://doi.org/10.1109/ICASSP.2007.367308
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Identification; Pattern recognition; Prediction methods; Time series
International Standard Book Number (ISBN)
978-142440728-6
International Standard Serial Number (ISSN)
1520-6149
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
06 Aug 2007
