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Uncertainty in artificial intelligence : proceedings of the Ninth Conference (1993) : July 9-11, 1993, the Catholic University of America, Washington, D.C. /
Uncertainty in Artificial Intelligence.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
San Mateo, Calif. :
Morgan Kaufmann Publishers,
1993.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231120111909.0 | ||
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| 007 | cr cnu---unuuu | ||
| 008 | 141124s1993 caua ob 101 0 eng d | ||
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| 020 | |a 1483214516 |q (electronic bk.) | ||
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| 245 | 0 | 0 | |a Uncertainty in artificial intelligence : |b proceedings of the Ninth Conference (1993) : July 9-11, 1993, the Catholic University of America, Washington, D.C. / |c edited by David Heckerman, Abe Mamdani. |
| 264 | 1 | |a San Mateo, Calif. : |b Morgan Kaufmann Publishers, |c 1993. | |
| 264 | 4 | |c �1993 | |
| 300 | |a 1 online resource (vi, 542 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Uncertainty inArtificialIntelligence; Copyright Page; Table of Contents; Preface; Acknowledgements; Part 1: Foundations; Chapter 1. Causality in Bayesian Belief Networks; Abstract; 1 INTRODUCTION; 2 SIMULTANEOUS EQUATIONS MODELS; 3 CAUSALITY IN BAYESIAN BELIEF NETWORKS; 4 CONCLUSION; Acknowledgments; References; Chapter 2. From Conditional Oughts to Qualitative Decision Theory; Abstract; 1 INTRODUCTION; 2 INFINITESIMALPROBABILITIES, RANKINGFUNCTIONS, CAUSALNETWORKS, AND ACTIONS; 3 SUMMARY OF RESULTS; 4 FROM UTILITIES AND BELIEFS TO GOALS AND ACTIONS. | |
| 505 | 8 | |a 5 COMBINING ACTIONS AND OBSERVATIONS6 RELATIONS TO OTHER ACCOUNTS; 7 CONCLUSION; Acknowledgements; References; Part 2: Applications and Empirical Comparisons; Chapter 3. A Probabilistic Algorithm for Calculating Structure:Borrowing from Simulated Annealing; Abstract; 1 MOLECULAR STRUCTURE; 2 THE DATA REPRESENTATION; 3 EXPERIMENTS PERFORMED; 4 RESULTS; 5 DISCUSSION; 6 CONCLUSIONS; Acknowledgements; References; Chapter 4. A Study of Scaling Issues in Bayesian Belief Networks for Ship Classification; Abstract; 1 Introduction; 2 Overview; 3 Network Structure; 4 Integration of Belief Values. | |
| 505 | 8 | |a 5 Discussion6 Conclusion; References; CHAPTER 5. TRADEOFFS IN CONSTRUCTING AND EVALUATING TEMPORAL INFLUENCE DIAGRAMS; Abstract; 1 INTRODUCTION; 2 TEMPORAL BAYESIAN NETWORKS; 3 TID CONSTRUCTION FROM KNOWLEDGE BASES; 4 DOMAIN-SPECIFIC TIME-SERIES MODELS; 5 MODEL SELECTION APPROACHES; 6 EVALUATING TRADEOFFS; 7 RELATED LITERATURE; 8 CONCLUSIONS; Acknowledgements; References; Chapter 6. End-User Construction of Influence Diagrams for Bayesian Statistics; Abstract; 1 INTRODUCTION; 2 STATISTICAL MODEL; 3 SEMANTIC INTERFACE: THE PATIENT-FLOW DIAGRAM. | |
| 505 | 8 | |a 4 METADATA-STATE DIAGRAM: THE COHORT-STATE DIAGRAM5 CONSTRUCTION STEPS; 6 IMPLEMENTATION; 7 OTHER WORK; 8 CONCLUSION; Acknowledgments; References; Chapter 7. On Considering Uncertainty and Alternatives in Low-Level Vision; Abstract; 1 INTRODUCTION; 2 REGIONS, SEGMENTS, AND SEGMENTATIONS; 3 SEGMENT-LEVEL UNCERTAINTY; 4 SEGMENTATION-LEVEL UNCERTAINTY; 5 REGION-LEVEL UNCERTAINTY; 6 OBTAINING PRIORS; 7 ALGORITHMS; 8 AN EXPERIMENTAL EXAMPLE; 9 CONCLUSION; Acknowledgement; References; Chapter 8. Forecasting Sleep Apnea with Dynamic Network Models; Abstract; 1 INTRODUCTION; 2 RELATED WORK. | |
| 505 | 8 | |a 3 THE DYNAMIC NETWORK MODEL4 THE DYNEMO IMPLEMENTATION; 5 THE SLEEP-APNEA FORECASTING PROBLEM; 6 CONCLUSIONS; Acknowledgments; References; Chapter 9. Normative Engineering Risk Management Systems; Abstract; 1 INTRODUCTION; 2 ENGINEERING RISK MANAGEMENT SYSTEMS; 3 ADVANCED RISK MANAGEMENT SYSTEM PROJECT; 4 NORMATIVE SYSTEM OVERVIEW; 5 NORMATIVE SYSTEM ACTIVITIES; 6 RESEARCH ISSUES; 7 CONCLUSIONS; Acknowledgements; References; Chapter 10. Diagnosis of Multiple Faults: A Sensitivity Analysis; Abstract; 1 INTRODUCTION; 2 THE MODELS; 3 EXPERIMENTAL DESIGN; 4 RESULTS AND DISCUSSION. | |
| 520 | |a Uncertainty in Artificial Intelligence. | ||
| 650 | 0 | |a Artificial intelligence |v Congresses. | |
| 650 | 0 | |a Uncertainty (Information theory) |v Congresses. | |
| 650 | 6 | |a Intelligence artificielle |0 (CaQQLa)201-0008626 |v Congr�es. |0 (CaQQLa)201-0378219 | |
| 650 | 6 | |a Incertitude (Th�eorie de l'information) |0 (CaQQLa)201-0003328 |v Congr�es. |0 (CaQQLa)201-0378219 | |
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| 650 | 7 | |a Intelligence artificielle |x Congr�es. |2 ram | |
| 650 | 7 | |a Incertitude (th�eorie de l'information) |x Congr�es. |2 ram | |
| 655 | 2 | |a Congress |0 (DNLM)D016423 | |
| 655 | 7 | |a proceedings (reports) |2 aat |0 (CStmoGRI)aatgf300027316 | |
| 655 | 7 | |a Conference papers and proceedings |2 fast |0 (OCoLC)fst01423772 | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft | |
| 655 | 7 | |a Actes de congr�es. |2 rvmgf |0 (CaQQLa)RVMGF-000001049 | |
| 655 | 7 | |a Washington (DC, 1993) |2 swd | |
| 700 | 1 | |a Heckerman, David E., |e editor. | |
| 700 | 1 | |a Mamdani, Abe, |e editor. | |
| 711 | 2 | |a Conference on Uncertainity in Artificial Intelligence |n (9th : |d 1993 : |c Catholic University of America) | |
| 776 | 0 | 8 | |i Print version: |t Uncertainty in artificial intelligence |z 1558603069 |w (OCoLC)29265800 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9781483214511 |z Texto completo |