Verfügbarkeit: Expert systems and probabilistic network models

Expert systems and probabilistic network models:

Gespeichert in:

Bibliographische Detailangaben
Beteiligte Personen:	Castillo, Enrique 1946- (VerfasserIn), Gutiérrez, José Manuel (VerfasserIn), Hadi, Ali S. (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	New York [u.a.] Springer 1997
Schriftenreihe:	Monographs in computer science
Schlagwörter:	Probabilités Systèmes experts (Informatique) Systèmes experts (informatique) graphe modèle probabiliste probabilité propagation réseau probabiliste système expert Expert systems (Computer science) Probabilities Wahrscheinlichkeit Expertensystem Netzwerk Stochastisches Modell Unsicherheit Netzwerkmodell Matériel didactique
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007543474&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XIV, 605 S. graph. Darst.
ISBN:	0387948589

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Datensatz im Suchindex

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adam_text	ENRIQUE CASTILLO JOSE MANUEL GUTIERREZ AN S. HADI EXPERT SYSTEMS AND PROBABILISTIC NETWORK MODELS WITH 250 FIGURES SPRINGER CONTENT S PREFAC E VII 1 INTRODUCTIO N 1 1.1 INTRODUCTION 1 1.2 WHAT IS AN EXPERT SYSTEM? 2 1.3 MOTIVATING EXAMPLES 3 1.4 WHY EXPERT SYSTEMS? 7 1.5 TYPES OF EXPERT SYSTEM 8 1.6 COMPONENTS OF AN EXPERT SYSTEM 10 1.7 DEVELOPING AN EXPERT SYSTEM 14 1.8 OTHER AREAS OF AI 16 1.9 CONCLUDING REMARKS 20 2 RULE-BASE D EXPER T SYSTEM S 21 2.1 INTRODUCTION 21 2.2 THE KNOWLEDGE BASE 22 2.3 . THE INFERENCE ENGINE 28 2.4 COHERENCE CONTROL 48 2.5 EXPLAINING CONCLUSIONS 52 2.6 SOME APPLICATIONS 53 2.7 INTRODUCING UNCERTAINTY 65 EXERCISES 65 3 PROBABILISTI C EXPER T SYSTEM S 69 3.1 INTRODUCTION 69 3.2 SOME CONCEPTS IN PROBABILITY THEORY 71 3.3 GENERALIZED RULES 85 3.4 INTRODUCING PROBABILISTIC EXPERT SYSTEMS 86 3.5 THE KNOWLEDGE BASE 91 3.6 THE INFERENCE ENGINE 102 3.7 COHERENCE CONTROL 104 XII CONTENTS 3.8 COMPARING RULE-BASED AND PROBABILISTIC EXPERT SYSTEMS . 106 EXERCISES 108 4 SOM E CONCEPT S OF GRAPH S 113 4.1 INTRODUCTION 113 4.2 BASIC CONCEPTS AND DEFINITIONS 114 4.3 CHARACTERISTICS OF UNDIRECTED GRAPHS 118 4.4 CHARACTERISTICS OF DIRECTED GRAPHS 122 4.5 TRIANGULATED GRAPHS 129 4.6 CLUSTER GRAPHS 139 4.7 REPRESENTATION OF GRAPHS 144 4.8 SOME USEFUL GRAPH ALGORITHMS 158 EXERCISES 172 5 BUILDIN G PROBABILISTI C MODEL S 175 5.1 INTRODUCTION 175 5.2 GRAPH SEPARATION 177 5.3 SOME PROPERTIES OF CONDITIONAL INDEPENDENCE 184 5.4 SPECIAL TYPES OF INPUT LISTS 192 5.5 FACTORIZATIONS OF THE JP D 195 5.6 CONSTRUCTING THE JP D 200 APPENDIX TO CHAPTER 5 204 EXERCISES 206 6 GRAPHICALL Y SPECIFIE D MODEL S 21 1 6.1 INTRODUCTION 211 6.2 SOME DEFINITIONS AND QUESTIONS 213 6.3 UNDIRECTED GRAPH DEPENDENCY MODELS 218 6.4 DIRECTED GRAPH DEPENDENCY MODELS 237 6.5 INDEPENDENCE EQUIVALENT GRAPHICAL MODELS 252 6.6 EXPRESSIVENESS OF GRAPHICAL MODELS 259 EXERCISES 262 7 EXTENDIN G GRAPHICALL Y SPECIFIED MODEL S 26 7 7.1 INTRODUCTION 267 7.2 MODELS SPECIFIED BY MULTIPLE GRAPHS 269 7.3 MODELS SPECIFIED BY INPUT LISTS 275 7.4 MULTIFACTORIZED PROBABILISTIC MODELS 279 7.5 MULTIFACTORIZED MULTINOMIAL MODELS 279 7.6 MULTIFACTORIZED NORMAL MODELS 292 7.7 CONDITIONALLY SPECIFIED PROBABILISTIC MODELS 298 EXERCISES 311 8 EXAC T PROPAGATIO N IN PROBABILISTI C NETWOR K MODEL S 31 7 8.1 INTRODUCTION 317 CONTENTS XIII 8.2 PROPAGATION OF EVIDENCE 318 8.3 PROPAGATION IN POLYTREES 321 8.4 PROPAGATION IN MULTIPLY-CONNECTED NETWORKS 342 8.5 CONDITIONING METHOD 342 8.6 CLUSTERING METHODS 351 8.7 PROPAGATION USING JOIN TREES 366 8.8 GOAL-ORIENTED PROPAGATION 377 8.9 EXACT PROPAGATION IN GAUSSIAN NETWORKS 382 EXERCISES 387 9 APPROXIMAT E PROPAGATIO N METHOD S 39 3 9.1 INTRODUCTION 393 9.2 INTUITIVE BASIS OF SIMULATION METHODS 394 9.3 GENERAL FRAME FOR SIMULATION METHODS 400 9.4 ACCEPTANCE-REJECTION SAMPLING METHOD 406 9.5 UNIFORM SAMPLING METHOD 409 9.6 THE LIKELIHOOD WEIGHING SAMPLING METHOD 411 9.7 BACKWARD-FORWARD SAMPLING METHOD 413 9.8 MARKOV SAMPLING METHOD 415 9.9 SYSTEMATIC SAMPLING METHOD 419 9.10 MAXIMUM PROBABILITY SEARCH METHOD 429 9.11 COMPLEXITY ANALYSIS 439 EXERCISES 440 10 SYMBOLIC PROPAGATIO N OF EVIDENC E 443 10.1 INTRODUCTION 443 10.2 NOTATION AND BASIC FRAMEWORK 445 10.3 AUTOMATIC GENERATION OF SYMBOLIC CODE 447 10.4 ALGEBRAIC STRUCTURE OF PROBABILITIES 454 10.5 SYMBOLIC PROPAGATION THROUGH NUMERIC COMPUTATIONS . . 455 10.6 .GOAL-ORIENTED SYMBOLIC PROPAGATION 464 10.7 SYMBOLIC TREATMENT OF RANDOM EVIDENCE 470 10.8 SENSITIVITY ANALYSIS 472 10.9 SYMBOLIC PROPAGATION IN GAUSSIAN BAYESIAN NETWORKS . . . 474 EXERCISES 478 11 LEARNING BAYESIA N NETWORK S 481 11.1 INTRODUCTION 481 11.2 MEASURING THE QUALITY OF A BAYESIAN NETWORK MODEL ... . 484 11.3 BAYESIAN QUALITY MEASURES 486 11.4 BAYESIAN MEASURES FOR MULTINOMIAL NETWORKS 490 11.5 BAYESIAN MEASURES FOR MULTINORMAL NETWORKS 499 11.6 MINIMUM DESCRIPTION LENGTH MEASURES 506 11.7 INFORMATION MEASURES 509 11.8 FURTHER ANALYSES OF QUALITY MEASURES 509 XIV CONTENTS 11.9 BAYESIAN NETWORK SEARCH ALGORITHMS 511 LL.LOTH E CASE OF INCOMPLETE DATA 513 APPENDIX TO CHAPTER 11: BAYESIAN STATISTICS 515 EXERCISES 525 12 CASE STUDIE S 529 12.1 INTRODUCTION 529 12.2 PRESSURE TANK SYSTEM 530 12.3 POWER DISTRIBUTION SYSTEM 542 12.4 DAMAGE OF CONCRETE STRUCTURES 550 12.5 DAMAGE OF CONCRETE STRUCTURES: THE GAUSSIAN MODEL . . . 562 EXERCISES 567 LIST OF NOTATIO N 573 REFERENCES 581 INDE X 597
any_adam_object	1
author	Castillo, Enrique 1946- Gutiérrez, José Manuel Hadi, Ali S.
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id	DE-604.BV011239587
illustrated	Illustrated
indexdate	2024-12-20T10:08:51Z
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isbn	0387948589
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-007543474
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physical	XIV, 605 S. graph. Darst.
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series2	Monographs in computer science
spellingShingle	Castillo, Enrique 1946- Gutiérrez, José Manuel Hadi, Ali S. Expert systems and probabilistic network models Probabilités Systèmes experts (Informatique) Systèmes experts (informatique) ram graphe inriac modèle probabiliste inriac probabilité inriac propagation inriac réseau probabiliste inriac système expert inriac Expert systems (Computer science) Probabilities Wahrscheinlichkeit (DE-588)4137007-7 gnd Expertensystem (DE-588)4113491-6 gnd Netzwerk (DE-588)4171529-9 gnd Stochastisches Modell (DE-588)4057633-4 gnd Unsicherheit (DE-588)4186957-6 gnd Netzwerkmodell (DE-588)4131643-5 gnd
subject_GND	(DE-588)4137007-7 (DE-588)4113491-6 (DE-588)4171529-9 (DE-588)4057633-4 (DE-588)4186957-6 (DE-588)4131643-5
title	Expert systems and probabilistic network models
title_auth	Expert systems and probabilistic network models
title_exact_search	Expert systems and probabilistic network models
title_full	Expert systems and probabilistic network models Enrique Castillo ; José Manuel Gutiérrez ; Ali S. Hadi
title_fullStr	Expert systems and probabilistic network models Enrique Castillo ; José Manuel Gutiérrez ; Ali S. Hadi
title_full_unstemmed	Expert systems and probabilistic network models Enrique Castillo ; José Manuel Gutiérrez ; Ali S. Hadi
title_short	Expert systems and probabilistic network models
title_sort	expert systems and probabilistic network models
topic	Probabilités Systèmes experts (Informatique) Systèmes experts (informatique) ram graphe inriac modèle probabiliste inriac probabilité inriac propagation inriac réseau probabiliste inriac système expert inriac Expert systems (Computer science) Probabilities Wahrscheinlichkeit (DE-588)4137007-7 gnd Expertensystem (DE-588)4113491-6 gnd Netzwerk (DE-588)4171529-9 gnd Stochastisches Modell (DE-588)4057633-4 gnd Unsicherheit (DE-588)4186957-6 gnd Netzwerkmodell (DE-588)4131643-5 gnd
topic_facet	Probabilités Systèmes experts (Informatique) Systèmes experts (informatique) graphe modèle probabiliste probabilité propagation réseau probabiliste système expert Expert systems (Computer science) Probabilities Wahrscheinlichkeit Expertensystem Netzwerk Stochastisches Modell Unsicherheit Netzwerkmodell Matériel didactique
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007543474&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT castilloenrique expertsystemsandprobabilisticnetworkmodels AT gutierrezjosemanuel expertsystemsandprobabilisticnetworkmodels AT hadialis expertsystemsandprobabilisticnetworkmodels

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