Advances in self-organizing maps and learning vector quantization: proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016
Gespeichert in:
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| Weitere Verfasser: | , , |
| Format: | Elektronisch Tagungsbericht E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer
[2016]
|
| Schriftenreihe: | Advances in intelligent systems and computing
volume 428 (2016) |
| Schlagworte: | |
| 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 |
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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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| author_corporate | WSOM Houston, Tex |
| author_corporate_role | aut |
| author_facet | Merényi, Erzsébet Mendenhall, Michael J. O'Driscoll, Patrick WSOM Houston, Tex |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-28518-4 |
| format | Electronic Conference Proceeding eBook |
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| id | DE-604.BV043407989 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T12:12:42Z |
| institution | BVB |
| institution_GND | (DE-588)1124598138 |
| isbn | 9783319285184 |
| language | English |
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| series | Advances in intelligent systems and computing |
| series2 | Advances in intelligent systems and computing |
| 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 |
| url | https://doi.org/10.1007/978-3-319-28518-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028826335&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028826335&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV040889154 |
| work_keys_str_mv | AT wsomhoustontex advancesinselforganizingmapsandlearningvectorquantizationproceedingsofthe11thinternationalworkshopwsom2016houstontexasusajanuary682016 AT merenyierzsebet advancesinselforganizingmapsandlearningvectorquantizationproceedingsofthe11thinternationalworkshopwsom2016houstontexasusajanuary682016 AT mendenhallmichaelj advancesinselforganizingmapsandlearningvectorquantizationproceedingsofthe11thinternationalworkshopwsom2016houstontexasusajanuary682016 AT odriscollpatrick advancesinselforganizingmapsandlearningvectorquantizationproceedingsofthe11thinternationalworkshopwsom2016houstontexasusajanuary682016 |