Uncertainty in artificial intelligence : proceedings of the Tenth Conference (1994) : July 29-31, 1994 /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Conference on Uncertainty in Artificial Intelligence University of Washington
Otros Autores: L�opez de M�antaras, Ramon, 1952-, Poole, David L. (David Lynton), 1958-
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: San Francisco, Calif. : Morgan Kaufmann Publishers, [1994]
Temas:
Uncertainty (Information theory) > Congresses.
Artificial intelligence > Congresses.
Incertitude (Th�eorie de l'information) > Congr�es.
Intelligence artificielle > Congr�es.
COMPUTERS > General.
Artificial intelligence
Uncertainty (Information theory)
Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Uncertainty in Artificial Intelligence; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Ending-based Strategies for Part-of-speech Tagging; Abstract; 1 INTRODUCTION; 2 BACKGROUND; 3 THE EXPERIMENTS; 4 RESULTS; 5 DISCUSSION AND FUTUREWORK; Acknowledgments; References; Chapter 2. An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets; Abstract; 1 INTRODUCTION; 2 METHODS; 3 RESULTS; 4 CONCLUSIONS; Acknowledgements; References; Appendix I.
  • Chapter 3. Probabilistic Constraint Satisfaction with Non-Gaussian NoiseAbstract; 1 INTRODUCTION; 2 MULTICOMPONENT ALGORITHM; 3. EXPERIMENTS AND RESULTS; 4 DISCUSSION; 5 RELATED WORK; 6 CONCLUSIONS; Acknowledgments; References; Chapter 4. A Bayesian Method Reexamined; Abstract; 1 INTRODUCTION; 2 THE K2 METRIC; 3 EXAMPLES AND DISCUSSION; 4 ANALYSIS; 5 CONCLUSION; Acknowledgments; References; Chapter 5. Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables; Abstract; 1 Introduction.
  • 2 Laplace's Method and Approximations for Probabilistic Inference3 Implementation Issues and Limitations; 4 An Application to a Medical Inference Problem; 5 Final Considerations; Acknowlegements; References; Chapter 6. Generating New Beliefs From Old; Abstract; 1 Introduction; 2 Technical preliminaries; 3 The three methods; 4 Discussion; References; Chapter 7. Counterfactual Probabilities: Computational Methods, Bounds and Applications; Abstract; 1 INTRODUCTION; 2 NOTATION; 3 BOUNDS ONCOUNTERFACTUALS; 4 APPLICATION TO CLINICAL TRIALS WITH IMPERFECT COMPLIANCE.
  • 4 Experimental ResultsRemark.; References; Chapter 10. Possibility and necessity functions over non-classical logics; Abstract; 1 Introduction; 2 Non-classical necessity and possibility functions; 3 Application to reasoning with uncertain and inconsistent information; 4 Conclusion; 5 References; Chapter 11. Exploratory Model Building; Abstract; 1 Introduction; 2 The Scenario-Building Process; 3 Probabilistic Knowledge; 4 The Dependency Relation; 5 Structure of an Imagined Context; 6 Constructing Preferred Contexts; 7 Conclusion; Acknowledgment; References.

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