Verfügbarkeit: Benchmark experiments

Benchmark experiments: a tool for analyzing statistical learning algorithms

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Bibliographische Detailangaben
1. Verfasser:	Eugster, Manuel J. A. (VerfasserIn)
Format:	Abschlussarbeit Buch
Sprache:	English
Veröffentlicht:	München Verl. Dr. Hut 2011
Ausgabe:	1. Aufl.
Schriftenreihe:	Statistik
Schlagworte:	Datenanalyse Benchmark Maschinelles Lernen Hochschulschrift
Online-Zugang:	kostenfrei https://nbn-resolving.org/urn:nbn:de:bvb:19-129904 Inhaltsverzeichnis
Beschreibung:	XX, 174 S. graph. Darst. 210 mm x 148 mm, 300 g
ISBN:	9783868539103

Internformat

MARC


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Datensatz im Suchindex

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adam_text	IMAGE 1 CONTENTS SCOPE OF THIS WORK I. BENCHMARK EXPERIMENTS 1 1. INTRODUCTION 3 1.1. THEORETICAL FRAMEWORK 4 1.2. DATA GENERATING PROCESS 8 1.3. OVERVIEW 10 2. ANALYSIS OF BENCHMARK EXPERIMENTS 13 2.1. COMMON ANALYSIS 15 2.2. EXPLORATORY ANALYSIS 17 2.3. STATISTICAL INFERENCE 22 2.3.1. NON-PARAMETRIC PROCEDURES 23 2.3.2. PARAMETRIC PROCEDURES 26 2.3.3. SIGNIFICANCE VERSUS RELEVANCE 27 2.4. PREFERENCE RELATIONS 29 2.4.1. POINT ESTIMATION BASED PREFERENCES 30 2.4.2. STATISTICAL TEST BASED PREFERENCES 31 2.5. PREFERENCE COMBINATION 34 2.5.1. CONSENSUS DECISION-MAKING 35 2.6. SUMMARY 37 3. INTERACTIVE ANALYSIS OF BENCHMARK EXPERIMENTS 39 3.1. BENCHMARK EXPERIMENT SPACE 40 3.2. INTERACTIVE ENVIRONMENT 42 3.2.1. BENCHMARK EXPERIMENT PLOT 43 3.2.2. INTERACTIVE BENCHMARK EXPERIMENT PLOT 45 3.3. INTERACTIVE ANALYSIS 46 3.4. SUMMARY 50 4. ANALYSIS OF DOMAIN-BASED BENCHMARK EXPERIMENTS 53 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/101201780X DIGITALISIERT DURCH IMAGE 2 CONTENTS 4.1. DESIGN OF EXPERIMENTS 54 4.2. VISUALIZATIONS OF THE DOMAIN 56 4.3. MODELS OF THE DOMAIN 63 4.4. ARCHETYPES OF THE DOMAIN 66 4.5. BENCHMARKING UCI AND GRASSHOPPER DOMAINS 70 4.5.1. UCI DOMAIN 70 4.5.2. GRASSHOPPER DOMAIN 73 4.6. SUMMARY 77 5. (PSYCHO)-ANALYSIS OF BENCHMARK EXPERIMENTS 79 5.1. BENCHMARK EXPERIMENTS 81 5.2. DATA SET CHARACTERIZATION 81 5.3. PREFERENCE SCALING 86 5.4. APPLICATION EXAMPLE 89 5.5. SUMMARY 93 6. SEQUENTIAL/ADAPTIVE BENCHMARK EXPERIMENTS 95 6.1. SEQUENTIAL FRAMEWORK 96 6.2. MONITORING 98 6.3. DECISION MAKING 101 6.3.1. RECURSIVE COMBINATION TESTS 102 6.3.2. RCTS IN BENCHMARK EXPERIMENTS 105 6.4. APPLICATION EXAMPLE 107 6.5. SUMMARY 109 7. DISCUSSION 111 II. ARCHETYPAL ANALYSIS 115 8. GENERAL FRAMEWORK 117 8.1. ARCHETYPAL PROBLEM 118 8.2. ARCHETYPE ALGORITHM 120 8.3. ILLUSTRATIVE EXAMPLE 123 9. WEIGHTED AND ROBUST ARCHETYPES 129 9.1. BREAKDOWN POINT OF CLASSICAL ARCHETYPES 130 9.2. WEIGHTED ARCHETYPES 131 9.3. ROBUST ARCHETYPES 132 9.4. APPLICATION EXAMPLE 137 9.5. SIMULATION STUDY 140 IMAGE 3 CONTENTS 9.6. SUMMARY 146 10. OUTLOOK 147 APPENDIX 151 A. COMPUTATIONAL DETAILS 153 A.I. BENCHMARK EXPERIMENTS 153 A.1.1. PACKAGE BENCHMARK 153 A.1.2. REPRODUCIBILITY 156 A.2. ARCHETYPAL ANALYSIS 158 A.2.1. PACKAGE ARCHETYPES 158 A.2.2. REPRODUCIBILITY 159 MATHEMATICAL NOMENCLATURE 161 BIBLIOGRAPHY 163
any_adam_object	1
author	Eugster, Manuel J. A.
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dewey-raw	519.50285631
dewey-search	519.50285631
dewey-sort	3519.50285631
dewey-tens	510 - Mathematics
discipline	Mathematik
edition	1. Aufl.
format	Thesis Book
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spelling	Eugster, Manuel J. A. Verfasser aut Benchmark experiments a tool for analyzing statistical learning algorithms Manuel J. A. Eugster 1. Aufl. München Verl. Dr. Hut 2011 XX, 174 S. graph. Darst. 210 mm x 148 mm, 300 g txt rdacontent n rdamedia nc rdacarrier Statistik Zugl.: München, Univ., Diss., 2011 Datenanalyse (DE-588)4123037-1 gnd rswk-swf Benchmark (DE-588)4144457-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Datenanalyse (DE-588)4123037-1 s Maschinelles Lernen (DE-588)4193754-5 s Benchmark (DE-588)4144457-7 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:19-129904 http://edoc.ub.uni-muenchen.de/12990/ Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:19-129904 Resolving-System DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022574954&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Eugster, Manuel J. A. Benchmark experiments a tool for analyzing statistical learning algorithms Datenanalyse (DE-588)4123037-1 gnd Benchmark (DE-588)4144457-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4123037-1 (DE-588)4144457-7 (DE-588)4193754-5 (DE-588)4113937-9
title	Benchmark experiments a tool for analyzing statistical learning algorithms
title_auth	Benchmark experiments a tool for analyzing statistical learning algorithms
title_exact_search	Benchmark experiments a tool for analyzing statistical learning algorithms
title_full	Benchmark experiments a tool for analyzing statistical learning algorithms Manuel J. A. Eugster
title_fullStr	Benchmark experiments a tool for analyzing statistical learning algorithms Manuel J. A. Eugster
title_full_unstemmed	Benchmark experiments a tool for analyzing statistical learning algorithms Manuel J. A. Eugster
title_short	Benchmark experiments
title_sort	benchmark experiments a tool for analyzing statistical learning algorithms
title_sub	a tool for analyzing statistical learning algorithms
topic	Datenanalyse (DE-588)4123037-1 gnd Benchmark (DE-588)4144457-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Datenanalyse Benchmark Maschinelles Lernen Hochschulschrift
url	http://edoc.ub.uni-muenchen.de/12990/ https://nbn-resolving.org/urn:nbn:de:bvb:19-129904 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022574954&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT eugstermanuelja benchmarkexperimentsatoolforanalyzingstatisticallearningalgorithms

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