Stacking for multivariate time series classification-Reference-Cited by-同舟云学术

Stacking for multivariate time series classification

Published:2013-09-05 Issue:2 Volume:18 Page:297-312
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Prieto Oscar J.,Alonso-González Carlos J.,Rodríguez Juan J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-013-0351-9.pdf

Reference83 articles.

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2. Alimoglu F (1996) Combining multiple classifiers for pen-based handwritten digit recognition. Master’s thesis, Institute of Graduate Studies in Science and Engineering, Bogazici University, Istanbul

3. Alimoglu F, Alpaydin E (2001) Combining multiple representations for pen-based handwritten digit recognition. ELEKTRIK Turk J Electr Eng Comput Sci 9(1):1–12

4. Alonso C, Prieto O, Rodríguez JJ, Bregón A (2008) Multivariate time series classification via stacking of univariate classifiers. In: Okun O, Valentini G (eds) Supervised and unsupervised ensemble methods and their applications, Springer, New York, pp 135–152

5. Bahlmann C, Haasdonk B, Burkhardt H (2002) On-line handwriting recognition with support vector machines: a kernel approach. In: Proceedings of the 8th International workshop on frontiers in handwriting recognition (IWFHR), pp 49–54

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