Classification with boosting of extreme learning machine over arbitrarily partitioned data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-015-1938-4.pdf
Reference52 articles.
1. Alimoglu F, Alpaydin E (1996) Methods of combining multiple classifiers based on different representations for pen-based handwritten digit recognition. In: Proceedings of the fifth Turkish artificial intelligence and artificial neural networks symposium (TAINN 96)
2. Baldi P, Sadowski P, Whiteson D (2014) Searching for exotic particles in high-energy physics with deep learning. Nature Commun 5
3. Bartlett P (1998) The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Trans Inf Theory 44:525–536
4. Bhatt R, Sharma G, Dhall A, Chaudhury S (2009) Efficient skin region segmentation using low complexity fuzzy decision tree model. In: 2009 Annual IEEE India Conference (INDICON), pp 1–4
5. Bhimji W, Bristow T, Washbrook A (2014) Hepdoop: high-energy physics analysis using hadoop. J Phys Conf Ser 513:022004 (IOP Publishing)
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