Holdings: Data-driven Generation of Policies

Data-driven Generation of Policies:

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Bibliographic Details
Main Authors:	Parker, Austin (Author), Simari, Gerardo I. (Author), Sliva, Amy (Author), Subrahmanian, V.S (Author)
Format:	Electronic eBook
Language:	English
Published:	New York, NY ; s.l. Springer New York 2014 Imprint: Springer
Series:	SpringerBriefs in Computer Science
Subjects:	Künstliche Intelligenz Data Mining Datenbankverwaltung
Online Access:	BFB01 BTU01 FHA01 FHM01 FHN01 FKE01 FRO01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	X, 50 p. Ill.
ISBN:	9781493902743
DOI:	10.1007/978-1-4939-0274-3

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Record in the Search Index

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adam_text	DATA-DRIVEN GENERATION OF POLICIES / PARKER, AUSTIN : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION AND RELATED WORK OPTIMAL STATE CHANGE ATTEMPTS DIFFERENT KINDS OF EFFECT ESTIMATORS A COMPARISON WITH PLANNING UNDER UNCERTAINTY EXPERIMENTAL EVALUATION CONCLUSIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. DATA-DRIVEN GENERATION OF POLICIES / PARKER, AUSTIN : 2014 ABSTRACT / INHALTSTEXT THIS SPRINGER BRIEF PRESENTS A BASIC ALGORITHM THAT PROVIDES A CORRECT SOLUTION TO FINDING AN OPTIMAL STATE CHANGE ATTEMPT, AS WELL AS AN ENHANCED ALGORITHM THAT IS BUILT ON TOP OF THE WELL-KNOWN TRIE DATA STRUCTURE. IT EXPLORES CORRECTNESS AND ALGORITHMIC COMPLEXITY RESULTS FOR BOTH ALGORITHMS AND EXPERIMENTS COMPARING THEIR PERFORMANCE ON BOTH REAL-WORLD AND SYNTHETIC DATA. TOPICS ADDRESSED INCLUDE OPTIMAL STATE CHANGE ATTEMPTS, STATE CHANGE EFFECTIVENESS, DIFFERENT KIND OF EFFECT ESTIMATORS, PLANNING UNDER UNCERTAINTY AND EXPERIMENTAL EVALUATION. THESE TOPICS WILL HELP RESEARCHERS ANALYZE TABULAR DATA, EVEN IF THE DATA CONTAINS STATES (OF THE WORLD) AND EVENTS (TAKEN BY AN AGENT) WHOSE EFFECTS ARE NOT WELL UNDERSTOOD. EVENT DBS ARE OMNIPRESENT IN THE SOCIAL SCIENCES AND MAY INCLUDE DIVERSE SCENARIOS FROM POLITICAL EVENTS AND THE STATE OF A COUNTRY TO EDUCATION-RELATED ACTIONS AND THEIR EFFECTS ON A SCHOOL SYSTEM. WITH A WIDE RANGE OF APPLICATIONS IN COMPUTER SCIENCE AND THE SOCIAL SCIENCES, THE INFORMATION IN THIS SPRINGER BRIEF IS VALUABLE FOR PROFESSIONALS AND RESEARCHERS DEALING WITH TABULAR DATA, ARTIFICIAL INTELLIGENCE AND DATA MINING. THE APPLICATIONS ARE ALSO USEFUL FOR ADVANCED-LEVEL STUDENTS OF COMPUTER SCIENCE DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Parker, Austin Verfasser (DE-588)1047363208 aut Data-driven Generation of Policies by Austin Parker, Gerardo I. Simari, Amy Sliva, V.S. Subrahmanian New York, NY ; s.l. Springer New York 2014 Imprint: Springer X, 50 p. Ill. txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Computer Science Online-Ausgabe Springer eBook Collection / Computer Science Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Datenbankverwaltung (DE-588)4389357-0 gnd rswk-swf Datenbankverwaltung (DE-588)4389357-0 s Data Mining (DE-588)4428654-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Simari, Gerardo I. aut Sliva, Amy (DE-588)1047363267 aut Subrahmanian, V.S. aut Reproduktion von Parker, Austin Data-driven Generation of Policies 2014 Erscheint auch als Druckausgabe 978-1-4939-0273-6 https://doi.org/10.1007/978-1-4939-0274-3 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084111&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Parker, Austin Simari, Gerardo I. Sliva, Amy Subrahmanian, V.S Data-driven Generation of Policies Künstliche Intelligenz (DE-588)4033447-8 gnd Data Mining (DE-588)4428654-5 gnd Datenbankverwaltung (DE-588)4389357-0 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4428654-5 (DE-588)4389357-0
title	Data-driven Generation of Policies
title_auth	Data-driven Generation of Policies
title_exact_search	Data-driven Generation of Policies
title_full	Data-driven Generation of Policies by Austin Parker, Gerardo I. Simari, Amy Sliva, V.S. Subrahmanian
title_fullStr	Data-driven Generation of Policies by Austin Parker, Gerardo I. Simari, Amy Sliva, V.S. Subrahmanian
title_full_unstemmed	Data-driven Generation of Policies by Austin Parker, Gerardo I. Simari, Amy Sliva, V.S. Subrahmanian
title_short	Data-driven Generation of Policies
title_sort	data driven generation of policies
topic	Künstliche Intelligenz (DE-588)4033447-8 gnd Data Mining (DE-588)4428654-5 gnd Datenbankverwaltung (DE-588)4389357-0 gnd
topic_facet	Künstliche Intelligenz Data Mining Datenbankverwaltung
url	https://doi.org/10.1007/978-1-4939-0274-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027084111&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=027084111&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT parkeraustin datadrivengenerationofpolicies AT simarigerardoi datadrivengenerationofpolicies AT slivaamy datadrivengenerationofpolicies AT subrahmanianvs datadrivengenerationofpolicies

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