By Alberto Guillén, Antti Sorjamaa, Gines Rubio, Amaury Lendasse, Ignacio Rojas (auth.), Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas (eds.)
This quantity set LNCS 5768 and LNCS 5769 constitutes the refereed complaints of the nineteenth foreign convention on synthetic Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009.
The 2 hundred revised complete papers provided have been conscientiously reviewed and chosen from greater than three hundred submissions. the 1st quantity is split in topical sections on studying algorithms; computational neuroscience; implementations and embedded structures; self association; clever keep an eye on and adaptive platforms; neural and hybrid architectures; aid vector desktop; and recurrent neural network.
Read or Download Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I PDF
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For all datasets, we used the top 1000 words by mutual information with class labels. For comparison, the counterpart unsupervised multiple kernel learning algorithm based on NMF  (denoted as NMF-mkl) was conducted. We also compared with the self-tuning spectral clustering  (denoted as SelfTunSpec), which tries to build a single best kernel for clustering. The algorithm in  is not compared because the optimization software in  cannot deal with the datasets that have too many samples and will cause memory overflow on the datasets used in this paper.