Modern methodology and applications in spatial-temporal modeling:
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Tokyo
Springer
[2015]
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Schriftenreihe: | SpringerBriefs in statistics
|
Schlagworte: | |
Online-Zugang: | DE-634 DE-861 DE-91 DE-19 DE-703 DE-20 DE-739 Volltext Abstract Inhaltsverzeichnis |
Beschreibung: | 1 Online Ressource (XV, 111 Seiten, 17 illus., 4 illus. in color) |
ISBN: | 9784431553397 |
ISSN: | 2191-544X |
DOI: | 10.1007/978-4-431-55339-7 |
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Datensatz im Suchindex
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adam_text |
MODERN METHODOLOGY AND APPLICATIONS IN SPATIAL-TEMPORAL MODELING
/
: 2015
ABSTRACT / INHALTSTEXT
THIS BOOK PROVIDES A MODERN INTRODUCTORY TUTORIAL ON SPECIALIZED
METHODOLOGICAL AND APPLIED ASPECTS OF SPATIAL AND TEMPORAL MODELING. THE
AREAS COVERED INVOLVE A RANGE OF TOPICS WHICH REFLECT THE DIVERSITY OF
THIS DOMAIN OF RESEARCH ACROSS A NUMBER OF QUANTITATIVE DISCIPLINES. FOR
INSTANCE, THE FIRST CHAPTER DEALS WITH NON-PARAMETRIC BAYESIAN INFERENCE
VIA A RECENTLY DEVELOPED FRAMEWORK KNOWN AS KERNEL MEAN EMBEDDING WHICH
HAS HAD A SIGNIFICANT INFLUENCE IN MACHINE LEARNING DISCIPLINES. THE
SECOND CHAPTER TAKES UP NON-PARAMETRIC STATISTICAL METHODS FOR SPATIAL
FIELD RECONSTRUCTION AND EXCEEDANCE PROBABILITY ESTIMATION BASED ON
GAUSSIAN PROCESS-BASED MODELS IN THE CONTEXT OF WIRELESS SENSOR NETWORK
DATA. THE THIRD CHAPTER PRESENTS SIGNAL-PROCESSING METHODS APPLIED TO
ACOUSTIC MOOD ANALYSIS BASED ON MUSIC SIGNAL ANALYSIS. THE FOURTH
CHAPTER COVERS MODELS THAT ARE APPLICABLE TO TIME SERIES MODELING IN THE
DOMAIN OF SPEECH AND LANGUAGE PROCESSING. THIS INCLUDES ASPECTS OF
FACTOR ANALYSIS, INDEPENDENT COMPONENT ANALYSIS IN AN UNSUPERVISED
LEARNING SETTING. THE CHAPTER MOVES ON TO INCLUDE MORE ADVANCED TOPICS
ON GENERALIZED LATENT VARIABLE TOPIC MODELS BASED ON HIERARCHICAL
DIRICHLET PROCESSES WHICH RECENTLY HAVE BEEN DEVELOPED IN NON-PARAMETRIC
BAYESIAN LITERATURE. THE FINAL CHAPTER DISCUSSES ASPECTS OF DEPENDENCE
MODELING, PRIMARILY FOCUSING ON THE ROLE OF EXTREME TAIL-DEPENDENCE
MODELING, COPULAS, AND THEIR ROLE IN WIRELESS COMMUNICATIONS SYSTEM
MODELS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
MODERN METHODOLOGY AND APPLICATIONS IN SPATIAL-TEMPORAL MODELING
/
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
1 NONPARAMETRIC BAYESIAN INFERENCE WITH KERNEL MEAN EMBEDDING (KENJI
FUKUMIZU)
2 HOW TO UTILISE SENSOR NETWORK DATA TO EFFICIENTLY PERFORM MODEL
CALIBRATION AND SPATIAL FIELD RECONSTRUCTION (GARETH W. PETERS, IDO
NEVAT AND TOMOKO MATSUI)
3 SPEECH AND MUSIC EMOTION RECOGNITION USING GAUSSIAN PROCESSES
(KONSTANTIN MARKOV AND TOMOKO MATSUI)
4 TOPIC MODELING FOR SPEECH AND LANGUAGE PROCESSING (JEN-TZUNG CHIEN)
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. |
any_adam_object | 1 |
author2 | Peters, Gareth Matsui, Tomoko |
author2_role | edt edt |
author2_variant | g p gp t m tm |
author_GND | (DE-588)1084592576 |
author_facet | Peters, Gareth Matsui, Tomoko |
building | Verbundindex |
bvnumber | BV043408400 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA |
ctrlnum | (OCoLC)936803316 (DE-599)BVBBV043408400 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-4-431-55339-7 |
format | Electronic eBook |
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institution | BVB |
isbn | 9784431553397 |
issn | 2191-544X |
language | English |
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spelling | Modern methodology and applications in spatial-temporal modeling Gareth William Peters, Tomoko Matsui, editors Tokyo Springer [2015] © 2015 1 Online Ressource (XV, 111 Seiten, 17 illus., 4 illus. in color) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in statistics 2191-544X Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik Peters, Gareth (DE-588)1084592576 edt Matsui, Tomoko edt Erscheint auch als Druckausgabe 978-4-431-55338-0 https://doi.org/10.1007/978-4-431-55339-7 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028826747&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Abstract Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028826747&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Modern methodology and applications in spatial-temporal modeling Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
title | Modern methodology and applications in spatial-temporal modeling |
title_auth | Modern methodology and applications in spatial-temporal modeling |
title_exact_search | Modern methodology and applications in spatial-temporal modeling |
title_full | Modern methodology and applications in spatial-temporal modeling Gareth William Peters, Tomoko Matsui, editors |
title_fullStr | Modern methodology and applications in spatial-temporal modeling Gareth William Peters, Tomoko Matsui, editors |
title_full_unstemmed | Modern methodology and applications in spatial-temporal modeling Gareth William Peters, Tomoko Matsui, editors |
title_short | Modern methodology and applications in spatial-temporal modeling |
title_sort | modern methodology and applications in spatial temporal modeling |
topic | Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
topic_facet | Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik |
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