Machine learning techniques for time series classification:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Göttingen
Cuvillier
2009
|
| Edition: | 1. Aufl. |
| Series: | Audi Dissertationsreihe
15 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverzeichnis Seite 199-205 |
| Physical Description: | IV, 205 S. graph. Darst. |
| ISBN: | 9783867279505 |
Staff View
MARC
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Record in the Search Index
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| adam_text | CONTENTS 1. INTRODUCTION 1 1.1 MOTIVATION 1 1.2 OUTLINE AND MAJOR
CONTRIBUTIONS OF THE THESIS 2 1.3 NOTATION 4 2. MACHINE LEARNING 5 2.1
BASICS OF STATISTICAL LEAMING 5 2.1.1 PARAMETRIC AND NONPARAMETRIC
TECHNIQUES FOR CLASSIFICATION 7 2.1.2 LEARNING AND GENERALIZATION IN
CLASSIFICATION TASKS 9 2.1.2.1 BIAS-VARIANCE DECOMPOSITION 10 2.1.2.2
EVALUATION OF MACHINE LEARNING ALGORITHMS IN PRACTICE ... 13 2.2 MACHINE
LEARNING ALGORITHMS FOR CLASSIFICATION 20 2.2.1 LINEAR BASIS EXPANSION
MODELS FOR CLASSIFICATION 20 2.2.2 MULTI-LAYER PERCEPTRON NEURAL
NETWORKS FOR CLASSIFICATION 22 2.2.3 KERNEL CLASSIFIERS 24 2.2.4
CLASSIFICATION AND REGRESSION TREES 25 2.2.5 ENSEMBLE LEARNING 30
2.2.5.1 BIAS-VARIANCE FRAMEWORK IN AVERAGING ENSEMBLE MODELS . . 30
2.2.5.2 RANDOM FOREST ALGORITHM 33 2.3 FEATURE EXTRACTION 39 2.3.1
FEATURE GENERATION 40 2.3.2 FEATURE SELECTION 43 2.3.2.1 FEATURE
SELECTION WITH CART 43 2.3.2.2 FEATURE SELECTION WITH RF 45 3.
INTERPRETABLE GENERALIZED RADIAL BASIS FUNCTION CLASSIFIERS BASED ON THE
RANDOM FOREST KERNEL 49 3.1 KERNELS DEFINED BY ENSEMBLES OF CART
CLASSIFIERS 50 3.2 GRBF BASED ON THE RF KERNEL 53 3.3 PRUNING 56 3.4
EXPERIMENTAL RESULTS 59 4. CLASSIFICATION OF TEMPORAL DATA 65 4.1 TIME
SERIES REPRESENTATION AND DIMENSIONALITY REDUCTION 66 4. BIBLIOGRAFISCHE
INFORMATIONEN HTTP://D-NB.INFO/994721455 DIGITALISIERT DURCH CONTENTS
4.5.3 EVENT-BASED FEATURES 100 5. CLASSIFICATION IN CAR SAFETY SYSTEMS
105 5.1 THE CAR CRASH DATASET 105 5.2 EVALUATION OF CLASSIFICATION
PERFORMANCE 109 6. SCENARIO-BASED RANDOM FOREST FOR ON-LINE TIME SERIES
CLASSIFICATION 113 6.1 PROBLEM FORMULATION 113 6.2 THE SCENARIO-BASED
RANDOM FOREST ALGORITHM 115 6.3 FEATURE SELECTION WITH SBRF 117 6.3.1
WRAPPER METHOD 118 6.3.2 EMBEDDED METHODS 119 6.4 SBRF FOR CAR CRASH
CLASSIFICATION 122 7. SEGMENTATION AND LABELING FOR ON-LINE TIME SERIES
CLASSIFICATION 139 7.1 ON-LINE SEGMENTATION OF TIME SERIES 140 7.1.1
REDUCTION OF THE NUMBER OF CHANGE DETECTORS 145 7.1.2 LINEAR CHANGE
DETECTORS 146 7.1.3 SEGMENTATION FOR CAR CRASH CLASSIFICATION 149 7.2
LABELING CLASSIFIERS FOR ON-LINE TIME SERIES CLASSIFICATION 152 7.2.1
GRBF FOR CAR CRASH CLASSIFICATION 153 7.2.2 TEMPORAL PROTOTYPES FOR CAR
CRASH CLASSIFICATION 162 8. CONCLUSIONS 175 8.1 COMPARISON OF THE
PRESENTED METHODS FOR CAR CRASH CLASSIFICATION 175 8.2 CONTRIBUTIONS AND
FUTURE WORK 178 APPENDICES 181 A. APPENDIX ON MACHINE LEARNING
PROCEDURES 183 A.L BIAS-VARIANCE DECOMPOSITION FOR REGRESSION 183 A.2
EXAMPLE FOR THE BIAS-VARIANCE DECOMPOSITION FOR CLASSIFICATION 183 A.3
BIAS-VARIANCE DECOMPOSITION FOR CLASSIFICATION 185 A.4 COMPUTATION OF W
AN
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| any_adam_object | 1 |
| author | Botsch, Michael 1979- |
| author_GND | (DE-588)138831807 |
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| building | Verbundindex |
| bvnumber | BV035682039 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)458746980 (DE-599)BVBBV035682039 |
| dewey-full | 519.55 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.55 |
| dewey-search | 519.55 |
| dewey-sort | 3519.55 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| edition | 1. Aufl. |
| format | Thesis Book |
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| id | DE-604.BV035682039 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T21:43:18Z |
| institution | BVB |
| isbn | 9783867279505 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017736295 |
| oclc_num | 458746980 |
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| physical | IV, 205 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Cuvillier |
| record_format | marc |
| series | Audi Dissertationsreihe |
| series2 | Audi Dissertationsreihe |
| spelling | Botsch, Michael 1979- Verfasser (DE-588)138831807 aut Machine learning techniques for time series classification Michael-Felix Botsch 1. Aufl. Göttingen Cuvillier 2009 IV, 205 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Audi Dissertationsreihe 15 Literaturverzeichnis Seite 199-205 Zugl.: München, Techn. Univ., Diss., 2009 Zeitreihenanalyse - Automatische Klassifikation - Maschinelles Lernen Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Automatische Klassifikation (DE-588)4120957-6 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Zeitreihenanalyse (DE-588)4067486-1 s Automatische Klassifikation (DE-588)4120957-6 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Audi Dissertationsreihe 15 (DE-604)BV023211311 15 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017736295&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Botsch, Michael 1979- Machine learning techniques for time series classification Audi Dissertationsreihe Zeitreihenanalyse - Automatische Klassifikation - Maschinelles Lernen Zeitreihenanalyse (DE-588)4067486-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd |
| subject_GND | (DE-588)4067486-1 (DE-588)4193754-5 (DE-588)4120957-6 (DE-588)4113937-9 |
| title | Machine learning techniques for time series classification |
| title_auth | Machine learning techniques for time series classification |
| title_exact_search | Machine learning techniques for time series classification |
| title_full | Machine learning techniques for time series classification Michael-Felix Botsch |
| title_fullStr | Machine learning techniques for time series classification Michael-Felix Botsch |
| title_full_unstemmed | Machine learning techniques for time series classification Michael-Felix Botsch |
| title_short | Machine learning techniques for time series classification |
| title_sort | machine learning techniques for time series classification |
| topic | Zeitreihenanalyse - Automatische Klassifikation - Maschinelles Lernen Zeitreihenanalyse (DE-588)4067486-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd |
| topic_facet | Zeitreihenanalyse - Automatische Klassifikation - Maschinelles Lernen Zeitreihenanalyse Maschinelles Lernen Automatische Klassifikation Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017736295&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV023211311 |
| work_keys_str_mv | AT botschmichael machinelearningtechniquesfortimeseriesclassification |