Publicado por Springer International Publishing AG, Cham, 2022
ISBN 10: 3031154436 ISBN 13: 9783031154430
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Original o primera edición
EUR 161,08
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Añadir al carritoPaperback. Condición: new. Paperback. In this collection, the reader can nd recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional elds of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization. In this collection, the reader can nd recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 157,56
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Publicado por Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030196410 ISBN 13: 9783030196417
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 161,41
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Añadir al carritoPaperback. Condición: new. Paperback. This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization. This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 157,90
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 157,90
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 159,03
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 159,03
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 165,07
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Publicado por Springer International Publishing AG, Cham, 2016
ISBN 10: 3319285173 ISBN 13: 9783319285177
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Original o primera edición
EUR 190,16
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Añadir al carritoPaperback. Condición: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 194,60
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Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 204,86
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 356.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 207,60
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Publicado por Springer International Publishing, 2022
ISBN 10: 3031154436 ISBN 13: 9783031154430
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
EUR 141,05
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Añadir al carritoTaschenbuch. Condición: Neu. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization | Dedicated to the Memory of Teuvo Kohonen / Proceedings of the 14th International Workshop, WSOM+ 2022, Prague, Czechia, July 6-7, 2022 | Jan Faigl (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer International Publishing | EAN 9783031154430 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Publicado por Springer International Publishing, Springer International Publishing Aug 2022, 2022
ISBN 10: 3031154436 ISBN 13: 9783031154430
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -In this collection, the reader can ¿nd recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional ¿elds of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, speci¿cally those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
Publicado por Springer International Publishing, Springer International Publishing Apr 2019, 2019
ISBN 10: 3030196410 ISBN 13: 9783030196417
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch.
Publicado por Springer International Publishing, Springer International Publishing Jan 2016, 2016
ISBN 10: 3319285173 ISBN 13: 9783319285177
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.
Publicado por Springer International Publishing, 2022
ISBN 10: 3031154436 ISBN 13: 9783031154430
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this collection, the reader can find recent advancements in self-organizing maps (SOMs) and learning vector quantization (LVQ), including progressive ideas on exploiting features of parallel computing. The collection is balanced in presenting novel theoretical contributions with applied results in traditional fields of SOMs, such as visualization problems and data analysis. Besides, the collection further includes less traditional deployments in trajectory clustering and recent results on exploiting quantum computation. The presented book is worth interest to data analysis and machine learning researchers and practitioners, specifically those interested in being updated with current developments in unsupervised learning, data visualization, and self-organization.
Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031671589 ISBN 13: 9783031671586
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 229,97
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Añadir al carritoPaperback. Condición: new. Paperback. The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt\-weida), Germany, on July 1012, 2024.The book highlights new developments in the field of interpretable and explainable machine learning for classification tasks, data compression and visualization. Thereby, the main focus is on prototype-based methods with inherent interpretability, computational sparseness and robustness making them as favorite methods for advanced machine learning tasks in a wide variety of applications ranging from biomedicine, space science, engineering to economics and social sciences, for example. The flexibility and simplicity of those approaches also allow the integration of modern aspects such as deep architectures, probabilistic methods and reasoning as well as relevance learning. The book reflects both new theoretical aspects in this research area and interesting application cases. Thus, this book is recommended for researchers and practitioners in data analytics and machine learning, especially those who are interested in the latest developments in interpretable and robust unsupervised learning, data visualization, classification and self-organization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 229,98
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Publicado por Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030196410 ISBN 13: 9783030196417
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.
Publicado por Springer International Publishing, 2016
ISBN 10: 3319285173 ISBN 13: 9783319285177
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. 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.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 231,10
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 226,73
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Publicado por Springer-Verlag New York Inc, 2019
ISBN 10: 3030196410 ISBN 13: 9783030196417
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 232,97
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Añadir al carritoPaperback. Condición: Brand New. 356 pages. 9.25x6.10x0.94 inches. In Stock.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 251,39
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Publicado por Springer International Publishing AG, Cham, 2014
ISBN 10: 3319076949 ISBN 13: 9783319076942
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 271,98
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Añadir al carritoPaperback. Condición: new. Paperback. The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 24, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification.This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks. Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods.All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression. The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2-4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification.This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks.A Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods.All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 268,61
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Publicado por Springer-Verlag New York Inc, 2016
ISBN 10: 3319285173 ISBN 13: 9783319285177
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 233,43
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Añadir al carritoPaperback. Condición: Brand New. 384 pages. 9.00x6.00x1.00 inches. In Stock.