 |
A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator |
|
Ross Shachter
, David Eddy
, Vic Hasselblad
, Robert Wolpert
|
|
A Knowledge Engineer's Comparison of Three Evidence Aggregation Methods |
|
Donald Mitchell
, Steven Harp
, David Simkin
|
|
A Measure-Free Approach to Conditioning |
|
I. Goodman
|
|
A Perspective on Confidence and Its Use in Focusing Attention During Knowledge Acquisition |
|
David Heckerman
, Holly Jimison
|
|
A Study of Associative Evidential Reasoning |
|
Yizong Cheng
, Rangasami Kashyap
|
|
Advantages and a Limitation of Using LEG Nets in a Real-TIme Problem |
|
Thomas Slack
|
|
An Algorithm for Computing Probabilistic Propositions |
|
Gregory Cooper
|
|
An Interesting Uncertainty-Based Combinatoric Problem in Spare Parts Forecasting: The FRED System |
|
John Bacon
|
|
Automated Generation of Connectionist Expert Systems for Problems Involving Noise and Redundancy |
|
Stephen Gallant
|
|
Bayesian Inference in Model-Based Machine Vision |
|
Thomas Binford
, Tod Levitt
, Wallace Mann
|
|
Bayesian Prediction for Artificial Intelligence |
|
Matthew Self
, Peter Cheeseman
|
|
Belief in Belief Functions: An Examination of Shafer's Canonical Examples |
|
Kathryn Laskey
|
|
Can Evidence Be Combined in the Dempster-Shafer Theory |
|
John Yen
|
|
Coefficients of Relations for Probabilistic Reasoning |
|
Silvio Ursic
|
|
Combining Symbolic and Numeric Approaches to Uncertainty Management |
|
Bruce D'Ambrosio
|
|
Comparisons of Reasoning Mechanisms for Computer Vision |
|
Ze-Nian Li
|
|
Compiling Fuzzy Logic Control Rules to Hardware Implementations |
|
Stephen Chiu
, Masaki Togai
|
|
Convergent Deduction for Probabilistic Logic |
|
Peter Haddawy
, Alan Frisch
|
|
Decision Tree Induction Systems: A Bayesian Analysis |
|
Wray Buntine
|
|
Dempster-Shafer vs. Probabilistic Logic |
|
Daniel Hunter
|
|
Do We Need Higher-Order Probabilities and, If So, What Do They Mean? |
|
Judea Pearl
|
|
Efficient Inference on Generalized Fault Diagrams |
|
Ross Shachter
, Leonard Bertrand
|
|
Estimation Procedures for Robust Sensor Control |
|
Greg Hager
, Max Mintz
|
|
Evidential Reasoning in Image Understanding |
|
Minchuan Zhang
, Su-shing Chen
|
|
Explanation of Probabilistic Inference for Decision Support Systems |
|
Christopher Elsaesser
|
|
Higher Order Probabilities |
|
Henry Kyburg Jr.
|
|
Implementing a Bayesian Scheme for Revising Belief Commitments |
|
Lashon Booker
, Naveen Hota
, Gavin Hemphill
|
|
Implementing Evidential Reasoning in Expert Systems |
|
John Yen
|
|
Integrating Logical and Probabilistic Reasoning for Decision Making |
|
John Breese
, Edison Tse
|
|
Is Shafer General Bayes? |
|
Paul Black
|
|
Modifiable Combining Functions |
|
Paul Cohen
, Glenn Shafer
, Prakash Shenoy
|
|
NAIVE: A Method for Representing Uncertainty and Temporal Relationships in an Automated Reasoner |
|
Michael Higgins
|
|
Nilsson's Probabilistic Entailment Extended to Dempster-Shafer Theory (Abstract Only) |
|
Mary McLeish
|
|
Objective Probability |
|
Henry Kyburg Jr.
|
|
Practical Issues in Constructing a Bayes' Belief Network |
|
Max Henrion
|
|
Problem Structure and Evidential Reasoning |
|
Richard Tong
, Lee Appelbaum
|
|
Reasoning About Beliefs and Actions Under Computational Resource Constraints |
|
Eric Horvitz
|
|
Satisfaction of Assumptions is a Weak Predictor of Performance |
|
Ben Wise
|
|
Steps Towards Programs that Manage Uncertainty |
|
Paul Cohen
|
|
Stochastic Simulation of Bayesian Belief Networks |
|
Homer Chin
, Gregory Cooper
|
|
Structuring Causal Tree Models with Continuous Variables |
|
Lei Xu
, Judea Pearl
|
|
Temporal Reasoning About Uncertain Worlds |
|
Steve Hanks
|
|
The Automatic Training of Rule Bases that Use Numerical Uncertainty Representations |
|
Richard Caruana
|
|
The Inductive Logic of Information Systems |
|
Norman Dalkey
|
|
The Recovery of Causal Poly-Trees from Statistical Data |
|
George Rebane
, Judea Pearl
|
|
The Role of Calculi in Uncertain Inference Systems |
|
Michael Wellman
, David Heckerman
|
|
The Role of Tuning Uncertain Inference Systems |
|
Ben Wise
, Bruce Perrin
, David Vaughan
, Robert Yadrick
|
|
Theory-Based Inductive Learning: An Integration of Symbolic and Quantitative Methods |
|
Spencer Star
|
|
Towards Solving the Multiple Extension Problem: Combining Defaults and Probabilities |
|
Eric Neufeld
, David Poole
|
|
Using T-Norm Based Uncertainty Calculi in a Naval Situation Assessment Application |
|
Piero Bonissone
|
|
Using the Dempster-Shafer Scheme in a Diagnostic Expert System Shell |
|
Gautam Biswas
, Teywansh Anand
|
