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06/06/2018
Reference Model of Multi-Entity Bayesian Networks for Predictive Situation Awareness
During the past quarter-century, situation awareness (SAW) has become a ...
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06/06/2018
MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model
Multi-Entity Bayesian Network (MEBN) is a knowledge representation forma...
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06/06/2018
Human-aided Multi-Entity Bayesian Networks Learning from Relational Data
An Artificial Intelligence (AI) system is an autonomous system which emu...
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06/06/2018
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks
Hybrid Bayesian Networks (HBNs), which contain both discrete and continu...
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03/27/2013
An Application of Non-Monotonic Probabilistic Reasoning to Air Force Threat Correlation
Current approaches to expert systems' reasoning under uncertainty fail t...
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03/27/2013
Belief in Belief Functions: An Examination of Shafer's Canonical Examples
In the canonical examples underlying Shafer-Dempster theory, beliefs ove...
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03/27/2013
Hierarchical Evidence and Belief Functions
Dempster/Shafer (D/S) theory has been advocated as a way of representing...
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03/27/2013
A Probabilistic Reasoning Environment
A framework is presented for a computational theory of probabilistic arg...
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03/20/2013
Conflict and Surprise: Heuristics for Model Revision
Any probabilistic model of a problem is based on assumptions which, if v...
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03/13/2013
The Bounded Bayesian
The ideal Bayesian agent reasons from a global probability model, but re...
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03/13/2013
Bayesian Meta-Reasoning: Determining Model Adequacy from Within a Small World
This paper presents a Bayesian framework for assessing the adequacy of a...
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03/06/2013
Sensitivity Analysis for Probability Assessments in Bayesian Networks
When eliciting probability models from experts, knowledge engineers may ...
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02/13/2013
Network Engineering for Complex Belief Networks
Like any large system development effort, the construction of a complex ...
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02/13/2013
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity str...
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02/06/2013
Network Fragments: Representing Knowledge for Constructing Probabilistic Models
In most current applications of belief networks, domain knowledge is rep...
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01/30/2013
Constructing Situation Specific Belief Networks
This paper describes a process for constructing situation-specific belie...
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01/23/2013
Learning Bayesian Networks from Incomplete Data with Stochastic Search Algorithms
This paper describes stochastic search approaches, including a new stoch...
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01/23/2013
Representing and Combining Partially Specified CPTs
This paper extends previous work with network fragments and situation-sp...
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01/23/2013
An Application of Uncertain Reasoning to Requirements Engineering
This paper examines the use of Bayesian Networks to tackle one of the to...
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01/10/2013
Hypothesis Management in Situation-Specific Network Construction
This paper considers the problem of knowledge-based model construction i...
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10/16/2012
Probability and Asset Updating using Bayesian Networks for Combinatorial Prediction Markets
A market-maker-based prediction market lets forecasters aggregate inform...
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07/04/2012