Data-driven Generation of Policies:
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Datensatz im Suchindex
| _version_ | 1819295143605305344 |
|---|---|
| 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.
|
| any_adam_object | 1 |
| author | Parker, Austin Simari, Gerardo I. Sliva, Amy Subrahmanian, V.S |
| author_GND | (DE-588)1047363208 (DE-588)1047363267 |
| author_facet | Parker, Austin Simari, Gerardo I. Sliva, Amy Subrahmanian, V.S |
| author_role | aut aut aut aut |
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| author_variant | a p ap g i s gi gis a s as v s vs |
| building | Verbundindex |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4939-0274-3 |
| format | Electronic eBook |
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| indexdate | 2024-12-20T16:51:18Z |
| institution | BVB |
| isbn | 9781493902743 |
| language | English |
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| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Springer New York Imprint: Springer |
| record_format | marc |
| series2 | SpringerBriefs in Computer Science |
| 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 |
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