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Bibliographic Details
Main Author:	Settles, Burr (Author)
Format:	Book
Language:	English
Published:	San Rafael, Cal. Morgan & Claypool Publishers [2012]
Series:	Synthesis lectures on artificial intelligence and machine learning 18
Subjects:	Künstliche Intelligenz Maschinelles Lernen
Online Access:	Inhaltsverzeichnis
Physical Description:	XIII, 100 Seiten Illustrationen
ISBN:	9781608457250

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MARC


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adam_text	IX Contents Preface.....................................................................xi Acknowledgments...........................................................xiii 1 Automating Inquiry............................................................1 1.1 A Thought Experiment.................................................. 1 1.2 Active Learning....................................................... 3 1.3 Scenarios for Active Learning......................................... 5 2 Uncertainty Sampling........................................................ 11 2.1 Pushing the Boundaries .............................................. 11 2.2 An Example........................................................... 12 2.3 Measures of Uncertainty.............................................. 13 2.4 Beyond Classification ............................................... 16 2.5 Discussion........................................................... 18 3 SearchingThrough the Hypothesis Space....................................... 21 3.1 The Version Space.....................................................21 3.2 Uncertainty Sampling as Version Space Search..........................22 3.3 Query by Disagreement ................................................24 3.4 Query by Committee....................................................28 3.5 Discussion............................................................32 4 Minimizing Expected Error and Variance ..................................... 37 4.1 Expected Error Reduction..............................................37 4.2 Variance Reduction....................................................40 4.3 Batch Queries and Submodularity.......................................44 4.4 Discussion............................................................46 5 Exploiting Structure in Data................................................ 47 5.1 Density-Weighted Methods..............................................47 5.2 Cluster-Based Active Learning.........................................49 5.3 Active + Semi-Supervised Learning.... 5.4 Discussion........................... 6 Theory...................................... 6.1 A Unified View....................... 6.2 A PAC Bound for Active Learning...... 6.3 Discussion........................... 7 Practical Considerations.................... 7.1 Which Algorithm is Best? ............ 7.2 Real Labeling Costs.................. 7.3 Alternative Query Types.............. 7.4 Skewed Label Distributions........... 7.5 Unreliable Oracles................... 7.6 Multi-Task Active Learning........... 7.7 Data Reuse and the Unknown Model Class 7.8 Stopping Criteria.................... A Nomenclature Reference...................... Bibliography............................... Author’s Biography......................... 53 54 55 55 57 61 63 63 65 68 72 73 74 76 77 79 81 97 Index 99
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isbn	9781608457250
language	English
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owner	DE-188 DE-473 DE-BY-UBG DE-739
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physical	XIII, 100 Seiten Illustrationen
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series	Synthesis lectures on artificial intelligence and machine learning
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spelling	Settles, Burr Verfasser (DE-588)1034035177 aut Active learning Burr Settles San Rafael, Cal. Morgan & Claypool Publishers [2012] © 2012 XIII, 100 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Synthesis lectures on artificial intelligence and machine learning 18 Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Onlineausgabe 978-1-60845-726-7 Synthesis lectures on artificial intelligence and machine learning 18 (DE-604)BV035750800 18 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029396311&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Settles, Burr Active learning Synthesis lectures on artificial intelligence and machine learning Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4193754-5
title	Active learning
title_auth	Active learning
title_exact_search	Active learning
title_full	Active learning Burr Settles
title_fullStr	Active learning Burr Settles
title_full_unstemmed	Active learning Burr Settles
title_short	Active learning
title_sort	active learning
topic	Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Künstliche Intelligenz Maschinelles Lernen
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