Advances in Self-Organizing Maps and Learning Vector Quantization : Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016

Erzsébet Merényi

ISBN 10: 3319285173 / ISBN 13: 9783319285177

Editore: Springer International Publishing, 2016

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Druck auf Anfrage Neuware - Printed after ordering - This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University inHouston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidanceand direction of Professor Tuevo Kohonen (Emeritus Professor, Academy ofFinland). WSOM brings together the state-of-the-art theory and applicationsin Competitive Learning Neural Networks: SOMs, LVQs and related paradigmsof unsupervised and supervised vector quantization.The current proceedings present the expert body of knowledge of 93 authors from15 countries in 31 peer reviewed contributions. It includes papers and abstractsfrom the WSOM 2016 invited speakers representing leading researchers in thetheory and real-world applications of Self-Organizing Maps and Learning VectorQuantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne,France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texasat Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics,and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis ofastronomical data, brain images, clinical data, time series, and agricultural data.

Codice articolo 9783319285177

Dati bibliografici

• Titolo: Advances in Self-Organizing Maps and Learning Vector Quantization : Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
• Editore: Springer International Publishing
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319285173
• ISBN 13: 9783319285177
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 21 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 21 millimetri di profondità
• Peso: 581 grammi

Descrizione articolo

Riassunto

This book contains the articles from the international conference 11th Workshop on Self-Organizing Maps 2016 (WSOM 2016), held at Rice University in Houston, Texas, 6-8 January 2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki, Finland, under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor, Academy of Finland). WSOM brings together the state-of-the-art theory and applications in Competitive Learning Neural Networks: SOMs, LVQs and related paradigms of unsupervised and supervised vector quantization.

The current proceedings present the expert body of knowledge of 93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor Marie Cottrell (Universite Paris 1 Pantheon Sorbonne, France), Professor Pablo Estevez (University of Chile and Millennium Instituteof Astrophysics, Chile), and Professor Risto Miikkulainen (University of Texas at Austin, USA). The book comprises a diverse set of theoretical works on Self-Organizing Maps, Neural Gas, Learning Vector Quantization and related topics, and an excellent variety of applications to data visualization, clustering, classification, language processing, robotic control, planning, and to the analysis of astronomical data, brain images, clinical data, time series, and agricultural data.