New PDF release: Artificial Neural Networks in Pattern Recognition: 5th INNS

By Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer (auth.), Nadia Mana, Friedhelm Schwenker, Edmondo Trentin (eds.)

ISBN-10: 3642332110

ISBN-13: 9783642332111

ISBN-10: 3642332129

ISBN-13: 9783642332128

This publication constitutes the refereed lawsuits of the fifth lodges IAPR TC3 GIRPR overseas Workshop on synthetic Neural Networks in trend acceptance, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised complete papers awarded have been rigorously reviewed and chosen for inclusion during this quantity. They disguise a wide variety of themes within the box of neural community- and computer learning-based trend acceptance proposing and discussing the newest examine, effects, and concepts in those areas.

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Read Online or Download Artificial Neural Networks in Pattern Recognition: 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings PDF

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Extra info for Artificial Neural Networks in Pattern Recognition: 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings

Example text

In: Arbib, M. ) The Handbook of Brain Theory and Neural Networks, pp. 537–540. MIT Press, Cambridge (1995) 4. : Diagnosis of multiple cancer types by shrunken centroids of gene expression. PNAS 99(10), 6567–6572 (2002) 5. : Nearest prototype classification: Clustering, genetic algorithms or random search? IEEE Transactions on Systems, Man, and Cybernetics C28(1), 160–164 (1998) 6. : The condensed nearest neighbor rule. IEEE Transactions on Information Theory 14, 515–516 (1968) 7. : Fitness functions in editing k-nn reference set by genetic algorithms.

MIT Press, Cambridge (1995) 4. : Diagnosis of multiple cancer types by shrunken centroids of gene expression. PNAS 99(10), 6567–6572 (2002) 5. : Nearest prototype classification: Clustering, genetic algorithms or random search? IEEE Transactions on Systems, Man, and Cybernetics C28(1), 160–164 (1998) 6. : The condensed nearest neighbor rule. IEEE Transactions on Information Theory 14, 515–516 (1968) 7. : Fitness functions in editing k-nn reference set by genetic algorithms. Pattern Recognition 30(6), 1041–1049 (1997) 8.

IDEAL 2007. LNCS, vol. 4881, pp. 1141–1150. Springer, Heidelberg (2007) 9. : Advances in instance selection for instance-based learning algorithms. Data Mining and Knowledge Discovery 6(2), 153–172 (2002) 10. : Nearest neighbor (NN) norms: NN pattern classification techniques. IEEE Computer Society Press (1991) 11. : Relating data compression and learnability (1986) (unpublished manuscript) 12. : Tutorial on practical prediction theory for classification. Journal of Machine Learning Research 6, 273–306 (2005) 13.

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Artificial Neural Networks in Pattern Recognition: 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings by Bassam Mokbel, Sebastian Gross, Markus Lux, Niels Pinkwart, Barbara Hammer (auth.), Nadia Mana, Friedhelm Schwenker, Edmondo Trentin (eds.)


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