Verfügbarkeit: Markov Models for Pattern Recognition

Markov Models for Pattern Recognition: From Theory to Applications

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Bibliographische Detailangaben
Beteilige Person:	Fink, Gernot A. 1965- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	London ; s.l. Springer London 2014 Imprint: Springer
Ausgabe:	2nd ed. 2014
Schriftenreihe:	Advances in Computer Vision and Pattern Recognition
Schlagwörter:	Computersimulation Mustererkennung Markov-Kette Hidden-Markov-Modell Künstliche Intelligenz
Links:	https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 https://doi.org/10.1007/978-1-4471-6308-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027087034&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=027087034&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (XIII, 276 S.) Ill.
ISBN:	9781447163084
DOI:	10.1007/978-1-4471-6308-4

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Datensatz im Suchindex

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adam_text	MARKOV MODELS FOR PATTERN RECOGNITION / FINK, GERNOT A. : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION APPLICATION AREAS PART I: THEORY FOUNDATIONS OF MATHEMATICAL STATISTICS VECTOR QUANTIZATION AND MIXTURE ESTIMATION HIDDEN MARKOV MODELS N-GRAM MODELS PART II: PRACTICE COMPUTATIONS WITH PROBABILITIES CONFIGURATION OF HIDDEN MARKOV MODELS ROBUST PARAMETER ESTIMATION EFFICIENT MODEL EVALUATION MODEL ADAPTATION INTEGRATED SEARCH METHODS PART III: SYSTEMS SPEECH RECOGNITION HANDWRITING RECOGNITION ANALYSIS OF BIOLOGICAL SEQUENCES DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. MARKOV MODELS FOR PATTERN RECOGNITION / FINK, GERNOT A. : 2014 ABSTRACT / INHALTSTEXT MARKOV MODELS ARE EXTREMELY USEFUL AS A GENERAL, WIDELY APPLICABLE TOOL FOR MANY AREAS IN STATISTICAL PATTERN RECOGNITION. THIS UNIQUE TEXT/REFERENCE PLACES THE FORMALISM OF MARKOV CHAIN AND HIDDEN MARKOV MODELS AT THE VERY CENTER OF ITS EXAMINATION OF CURRENT PATTERN RECOGNITION SYSTEMS, DEMONSTRATING HOW THE MODELS CAN BE USED IN A RANGE OF DIFFERENT APPLICATIONS. THOROUGHLY REVISED AND EXPANDED, THIS NEW EDITION NOW INCLUDES A MORE DETAILED TREATMENT OF THE EM ALGORITHM, A DESCRIPTION OF AN EFFICIENT APPROXIMATE VITERBI-TRAINING PROCEDURE, A THEORETICAL DERIVATION OF THE PERPLEXITY MEASURE, AND COVERAGE OF MULTI-PASS DECODING BASED ON N-BEST SEARCH. SUPPORTING THE DISCUSSION OF THE THEORETICAL FOUNDATIONS OF MARKOV MODELING, SPECIAL EMPHASIS IS ALSO PLACED ON PRACTICAL ALGORITHMIC SOLUTIONS. TOPICS AND FEATURES: INTRODUCES THE FORMAL FRAMEWORK FOR MARKOV MODELS, DESCRIBING HIDDEN MARKOV MODELS AND MARKOV CHAIN MODELS, ALSO KNOWN AS N-GRAM MODELS COVERS THE ROBUST HANDLING OF PROBABILITY QUANTITIES, WHICH ARE OMNIPRESENT WHEN DEALING WITH THESE STATISTICAL METHODS PRESENTS METHODS FOR THE CONFIGURATION OF HIDDEN MARKOV MODELS FOR SPECIFIC APPLICATION AREAS, EXPLAINING THE ESTIMATION OF THE MODEL PARAMETERS DESCRIBES IMPORTANT METHODS FOR EFFICIENT PROCESSING OF MARKOV MODELS, AND THE ADAPTATION OF THE MODELS TO DIFFERENT TASKS EXAMINES ALGORITHMS FOR SEARCHING WITHIN THE COMPLEX SOLUTION SPACES THAT RESULT FROM THE JOINT APPLICATION OF MARKOV CHAIN AND HIDDEN MARKOV MODELS REVIEWS KEY APPLICATIONS OF MARKOV MODELS IN AUTOMATIC SPEECH RECOGNITION, CHARACTER AND HANDWRITING RECOGNITION, AND THE ANALYSIS OF BIOLOGICAL SEQUENCES RESEARCHERS, PRACTITIONERS, AND GRADUATE STUDENTS OF PATTERN RECOGNITION WILL ALL FIND THIS BOOK TO BE INVALUABLE IN AIDING THEIR UNDERSTANDING OF THE APPLICATION OF STATISTICAL METHODS IN THIS AREA DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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id	DE-604.BV041646332
illustrated	Illustrated
indexdate	2024-12-20T16:51:22Z
institution	BVB
isbn	9781447163084
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-027087034
oclc_num	870302423
open_access_boolean
owner	DE-703 DE-20 DE-92 DE-859 DE-M347 DE-473 DE-BY-UBG DE-522 DE-861 DE-Aug4 DE-29 DE-634 DE-739 DE-355 DE-BY-UBR
owner_facet	DE-703 DE-20 DE-92 DE-859 DE-M347 DE-473 DE-BY-UBG DE-522 DE-861 DE-Aug4 DE-29 DE-634 DE-739 DE-355 DE-BY-UBR
physical	1 Online-Ressource (XIII, 276 S.) Ill.
psigel	ZDB-2-SCS
publishDate	2014
publishDateSearch	2014
publishDateSort	2014
publisher	Springer London Imprint: Springer
record_format	marc
series2	Advances in Computer Vision and Pattern Recognition
spellingShingle	Fink, Gernot A. 1965- Markov Models for Pattern Recognition From Theory to Applications Computersimulation (DE-588)4148259-1 gnd Mustererkennung (DE-588)4040936-3 gnd Markov-Kette (DE-588)4037612-6 gnd Hidden-Markov-Modell (DE-588)4352479-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
subject_GND	(DE-588)4148259-1 (DE-588)4040936-3 (DE-588)4037612-6 (DE-588)4352479-5 (DE-588)4033447-8
title	Markov Models for Pattern Recognition From Theory to Applications
title_auth	Markov Models for Pattern Recognition From Theory to Applications
title_exact_search	Markov Models for Pattern Recognition From Theory to Applications
title_full	Markov Models for Pattern Recognition From Theory to Applications by Gernot A. Fink
title_fullStr	Markov Models for Pattern Recognition From Theory to Applications by Gernot A. Fink
title_full_unstemmed	Markov Models for Pattern Recognition From Theory to Applications by Gernot A. Fink
title_short	Markov Models for Pattern Recognition
title_sort	markov models for pattern recognition from theory to applications
title_sub	From Theory to Applications
topic	Computersimulation (DE-588)4148259-1 gnd Mustererkennung (DE-588)4040936-3 gnd Markov-Kette (DE-588)4037612-6 gnd Hidden-Markov-Modell (DE-588)4352479-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd
topic_facet	Computersimulation Mustererkennung Markov-Kette Hidden-Markov-Modell Künstliche Intelligenz
url	https://doi.org/10.1007/978-1-4471-6308-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027087034&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=027087034&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT finkgernota markovmodelsforpatternrecognitionfromtheorytoapplications

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