UAI 1992

49 papers

A Computational Scheme for Reasoning in Dynamic Probabilistic Networks Uffe Kjærulff

A Decision Calculus for Belief Functions in Valuation-Based Systems Hong Xu

A Fuzzy Logic Approach to Target Tracking Chin-Wang Tao, Wiley E. Thompson

A Note on the Measure of Discord George J. Klir, Behzad Parviz

A Probabilistic Network of Predicates Dekang Lin

A Symbolic Approach to Reasoning with Linguistic Quantifiers Didier Dubois, Henri Prade, Lluís Godo, Ramón López de Mántaras

aHUGIN: A System Creating Adaptive Causal Probabilistic Networks Kristian G. Olesen, Steffen L. Lauritzen, Finn Verner Jensen

An Algorithm for Deciding if a Set of Observed Independencies Has a Causal Explanation Thomas Verma, Judea Pearl

An Entropy-Based Learning Algorithm of Bayesian Conditional Trees Dan Geiger

Bayesian Meta-Reasoning: Determining Model Adequacy from Within a Small World Kathryn B. Laskey

Calculating Uncertainty Intervals from Conditional Convex Sets of Probabilities Serafín Moral

Conditional Lndependence in Uncertainty Theories Prakash P. Shenoy

Decision Making Using Probabilistic Inference Methods Ross D. Shachter, Mark A. Peot

Decision Methods for Adaptive Task-Sharing in Associate Systems Thomas S. Paterson, Michael R. Fehling

Dynamic Network Models for Forecasting Paul Dagum, Adam Galper, Eric Horvitz

Empirical Probabilities in Monadic Deductive Databases Raymond T. Ng, V. S. Subrahmanian

Entropy and Belief Networks Norman C. Dalkey

Exploring Localization in Bayesian Networks for Large Expert Systems Yang Xiang, David Poole, Michael P. Beddoes

Expressing Relational and Temporal Knowledge in Visual Probabilistic Networks Luis Enrique Sucar, Duncan Fyfe Gillies

Generalizing Jeffrey Conditionalization Carl G. Wagner

Guess-and-Verify Heuristics for Reducing Uncertainties in Expert Classification Systems Yuping Qiu, Louis Anthony Cox Jr., Lawrence Davis

Integrating Model Construction and Evaluation Robert P. Goldman, Jack S. Breese

Interval Structure: A Framework for Representing Uncertain Information S. K. Michael Wong, Lusheng Wang, Yiyu Yao

Intuitions About Ordered Beliefs Leading to Probabilistic Models Paul Snow

Knowledge Integration for Conditional Probability Assessments Angelo Gilio, Fulvio Spezzaferri

Lattice-Based Graded Logic: A Multimodal Approach Philippe Chatalic, Christine Froidevaux

MESA: Maximum Entropy by Simulated Annealing Gerhard Paass

Modal Logics for Qualitative Possibility and Beliefs Craig Boutilier

Modeling Uncertain Temporal Evolutions in Model-Based Diagnosis Luigi Portinale

Objection-Based Causal Exception Networks Adnan Darwiche

Optimizing Causal Orderings for Generating DAGs from Data Remco R. Bouckaert

Parallelizing Probabilistic Inference: Some Early Explorations Bruce D'Ambrosio, Tony Fountain, Zhaoyu Li

Possibilistic Assumption Based Truth Maintenance System, Validation in a Data Fusion Application Francesco Fulvio Monai, Thomas Chehire

Possibilistic Constraint Satisfaction Problems or "How to Handle Soft Constraints?" Thomas Schiex

R&D Analyst: An Interactive Approach to Normative Decision System Model Construction Peter J. Regan, Samuel Holtzman

Reasoning with Qualitative Probabilities Can Be Tractable Moisés Goldszmidt, Judea Pearl

Reformulating Inference Problems Through Selective Conditioning Paul Dagum, Eric Horvitz

Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report Tze-Yun Leong

Representing Heuristic Knowledge in D-S Theory Weiru Liu, John G. Hughes, Michael F. McTear

RES: A Relative Method for Evidential Reasoning Zhi An, David A. Bell, John G. Hughes

Semantics for Probabilistic Inference Henry E. Kyburg Jr.

Sensor Validation Using Dynamic Belief Networks Ann E. Nicholson, J. Michael Brady

Some Problems for Convex Bayesians Henry E. Kyburg Jr., Michael Pittarelli

Structural Controllability and Observability in Influence Diagrams Brian Y. Chan, Ross D. Shachter

The Bounded Bayesian Kathryn B. Laskey

The Dynamic of Belief in the Transferable Belief Model and Specialization-Generalization Matrices Frank Klawonn, Philippe Smets

The Nature of the Unnormalized Beliefs Encountered in the Transferable Belief Model Philippe Smets

The Topological Fusion of Bayes Nets Izhar Matzkevich, Bruce Abramson

Towards Precision of Probabilistic Bounds Propagation Helmut Thöne, Ulrich Güntzer, Werner Kießling