Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY [u.a.]
Springer
2013
|
| Edition: | 2. ed. |
| Series: | Information Science and Statistics
22 |
| Subjects: | |
| Online Access: | FAB01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource (XVII, 382 S.) Ill., graph. Darst. |
| ISBN: | 9781461451044 9781461451037 |
| DOI: | 10.1007/978-1-4614-5104-4 |
Staff View
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Record in the Search Index
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|---|---|
| adam_text | BAYESIAN NETWORKS AND INFLUENCE DIAGRAMS: A GUIDE TO CONSTRUCTION AND
ANALYSIS
/ KJAERULFF, UFFE B.
: 2013
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
NETWORKS
PROBABILITIES
PROBABILISTIC NETWORKS
SOLVING PROBABILISTIC NETWORKS
ELICITING THE MODEL
MODELING TECHNIQUES
DATA-DRIVEN MODELING
CONFLICT ANALYSIS
SENSITIVITY ANALYSIS
VALUE OF INFORMATION ANALYSIS
QUICK REFERENCE TO MODEL CONSTRUCTION
LIST OF EXAMPLES
LIST OF FIGURES
LIST OF TABLES
LIST OF SYMBOLS
REFERENCES
INDEX
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
BAYESIAN NETWORKS AND INFLUENCE DIAGRAMS: A GUIDE TO CONSTRUCTION AND
ANALYSIS
/ KJAERULFF, UFFE B.
: 2013
ABSTRACT / INHALTSTEXT
BAYESIAN NETWORKS AND INFLUENCE DIAGRAMS: A GUIDE TO CONSTRUCTION AND
ANALYSIS, SECOND EDITION,PROVIDES A COMPREHENSIVE GUIDE FOR
PRACTITIONERS WHO WISH TO UNDERSTAND, CONSTRUCT, AND ANALYZE INTELLIGENT
SYSTEMS FOR DECISION SUPPORT BASED ON PROBABILISTIC NETWORKS. THIS NEW
EDITION CONTAINS SIX NEW SECTIONS, IN ADDITION TO FULLY-UPDATED
EXAMPLES, TABLES, FIGURES, AND A REVISED APPENDIX. INTENDED PRIMARILY
FOR PRACTITIONERS, THIS BOOK DOES NOT REQUIRE SOPHISTICATED MATHEMATICAL
SKILLS OR DEEP UNDERSTANDING OF THE UNDERLYING THEORY AND METHODS NOR
DOES IT DISCUSS ALTERNATIVE TECHNOLOGIES FOR REASONING UNDER
UNCERTAINTY. THE THEORY AND METHODS PRESENTED ARE ILLUSTRATED THROUGH
MORE THAN 140 EXAMPLES, AND EXERCISES ARE INCLUDED FOR THE READER TO
CHECK HIS OR HER LEVEL OF UNDERSTANDING. THE TECHNIQUES AND METHODS
PRESENTED ON MODEL CONSTRUCTION AND VERIFICATION, MODELING TECHNIQUES
AND TRICKS, LEARNING MODELS FROMDATA, AND ANALYSES OF MODELS HAVE ALL
BEEN DEVELOPED AND REFINED BASED ON NUMEROUS COURSES THE
AUTHORSHAVEHELD FOR PRACTITIONERS WORLDWIDE. UFFE B. KJAERULFF
HOLDS A PHD ON PROBABILISTIC NETWORKS AND IS AN ASSOCIATE PROFESSOR OF
COMPUTER SCIENCE AT AALBORG UNIVERSITY. ANDERS L. MADSENOF HUGIN
EXPERT A/SHOLDS A PHD ON PROBABILISTIC NETWORKS AND IS AN ADJUNCT
PROFESSOR OF COMPUTER SCIENCE AT AALBORG UNIVERSITY
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Kjaerulff, Uffe Madsen, Anders L. |
| author_facet | Kjaerulff, Uffe Madsen, Anders L. |
| author_role | aut aut |
| author_sort | Kjaerulff, Uffe |
| author_variant | u k uk a l m al alm |
| building | Verbundindex |
| bvnumber | BV040672761 |
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| ctrlnum | (OCoLC)827054103 (DE-599)HBZTT050418171 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| doi_str_mv | 10.1007/978-1-4614-5104-4 |
| edition | 2. ed. |
| format | Electronic eBook |
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| spelling | Kjaerulff, Uffe Verfasser aut Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis Uffe B. Kjærulff ; Anders L. Madsen 2. ed. New York, NY [u.a.] Springer 2013 1 Online-Ressource (XVII, 382 S.) Ill., graph. Darst. txt rdacontent c rdamedia cr rdacarrier Information Science and Statistics 22 Informatik Künstliche Intelligenz Statistik Statistics Computer science Data mining Artificial intelligence Distribution (Probability theory) Mathematical statistics Bayes-Netz (DE-588)4567228-3 gnd rswk-swf Wahrscheinlichkeitsnetz (DE-588)4138881-1 gnd rswk-swf Bayes-Netz (DE-588)4567228-3 s Wahrscheinlichkeitsnetz (DE-588)4138881-1 s DE-604 Madsen, Anders L. Verfasser aut Information Science and Statistics 22 (DE-604)BV040672748 22 https://doi.org/10.1007/978-1-4614-5104-4 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025499290&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=025499290&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Kjaerulff, Uffe Madsen, Anders L. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis Information Science and Statistics Informatik Künstliche Intelligenz Statistik Statistics Computer science Data mining Artificial intelligence Distribution (Probability theory) Mathematical statistics Bayes-Netz (DE-588)4567228-3 gnd Wahrscheinlichkeitsnetz (DE-588)4138881-1 gnd |
| subject_GND | (DE-588)4567228-3 (DE-588)4138881-1 |
| title | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis |
| title_auth | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis |
| title_exact_search | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis |
| title_full | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis Uffe B. Kjærulff ; Anders L. Madsen |
| title_fullStr | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis Uffe B. Kjærulff ; Anders L. Madsen |
| title_full_unstemmed | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis Uffe B. Kjærulff ; Anders L. Madsen |
| title_short | Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis |
| title_sort | bayesian networks and influence diagrams a guide to construction and analysis |
| topic | Informatik Künstliche Intelligenz Statistik Statistics Computer science Data mining Artificial intelligence Distribution (Probability theory) Mathematical statistics Bayes-Netz (DE-588)4567228-3 gnd Wahrscheinlichkeitsnetz (DE-588)4138881-1 gnd |
| topic_facet | Informatik Künstliche Intelligenz Statistik Statistics Computer science Data mining Artificial intelligence Distribution (Probability theory) Mathematical statistics Bayes-Netz Wahrscheinlichkeitsnetz |
| url | https://doi.org/10.1007/978-1-4614-5104-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025499290&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=025499290&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV040672748 |
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