Verfügbarkeit: Advances in self-organizing maps and learning vector quantization

Advances in self-organizing maps and learning vector quantization: proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016

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Bibliographische Detailangaben
Körperschaft:	WSOM Houston, Tex (VerfasserIn)
Weitere Verfasser:	Merényi, Erzsébet (HerausgeberIn), Mendenhall, Michael J. (HerausgeberIn), O'Driscoll, Patrick (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	English
Veröffentlicht:	[Cham] Springer [2016]
Schriftenreihe:	Advances in intelligent systems and computing volume 428 (2016)
Schlagworte:	Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Konferenzschrift > 2016 > Houston, Texas
Online-Zugang:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis
Beschreibung:	1 Online Ressource (XIII, 370 Seiten)
ISBN:	9783319285184
DOI:	10.1007/978-3-319-28518-4

Internformat

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Datensatz im Suchindex

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adam_text	ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION / : 2016 ABSTRACT / INHALTSTEXT 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS SELF-ORGANIZING MAP LEARNING, VISUALIZATION, AND QUALITY ASSESSMENT CLUSTERING AND TIME SERIES ANALYSIS WITH SELF-ORGANIZING MAPS AND NEURAL GAS.-APPLICATIONS IN CONTROL, PLANNING, AND DIMENSIONALITY REDUCTION, AND HARDWARE FOR SELF-ORGANIZING MAPS SELF-ORGANIZING MAPS IN NEUROSCIENCE AND MEDICAL APPLICATIONS LEARNING VECTOR QUANTIZATION THEORIES AND APPLICATIONS I LEARNING VECTOR QUANTIZATION THEORIES AND APPLICATIONS II. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spellingShingle	Advances in self-organizing maps and learning vector quantization proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 Advances in intelligent systems and computing Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
subject_GND	(DE-588)1071861417
title	Advances in self-organizing maps and learning vector quantization proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
title_auth	Advances in self-organizing maps and learning vector quantization proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
title_exact_search	Advances in self-organizing maps and learning vector quantization proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
title_full	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, Michael J. Mendenhall, Patrick O'Driscoll editors
title_fullStr	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, Michael J. Mendenhall, Patrick O'Driscoll editors
title_full_unstemmed	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, Michael J. Mendenhall, Patrick O'Driscoll editors
title_short	Advances in self-organizing maps and learning vector quantization
title_sort	advances in self organizing maps and learning vector quantization proceedings of the 11th international workshop wsom 2016 houston texas usa january 6 8 2016
title_sub	proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
topic	Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz
topic_facet	Engineering Artificial intelligence Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Konferenzschrift 2016 Houston, Texas
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volume_link	(DE-604)BV040889154
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