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MEBN: A Logic for Open-World Probabilistic Reasoning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Bayesian inference-based fusion of radar imagery, military forces and tactical terrain models in the image exploitation system/balanced technology initiative
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A translation approach to portable ontology specifications
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Adaptive Bayesian Logic Programs
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Constructing flexible dynamic belief networks from first-order probabilistic knowledge bases
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Bayesian Networks and Decision Graphs
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Hidden Markov Models: Estimation and Control
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Using Causal Knowledge to Create Simulated Patient Cases: CPCS Project as an Extension of INTERNIST-1
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Learning Probabilistic Relational Models
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Learning in Graphical Models
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Probabilistic Networks and Expert Systems
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A Bayesian Method for the Induction of Probabilistic Networks from Data
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Adaptive Processing of Sequences and Data Structures
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Learning dynamic Bayesian networks
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An analysis of first-order logics of probability
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A Bayesian model of plan recognition
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Probabilistic Horn abduction and Bayesian networks
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Local expression languages for probabilistic dependence
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Causality in Bayesian Belief Networks
inferredcites →https://doi.org/10.1016/b978-1-55860-203-8.50019-xopenalex-snapshot
Advances in Probabilistic Reasoning
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Conflict and Surprise: Heuristics for Model Revision
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A Mathematical Introduction to Logic
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Logical Foundations of Artificial Intelligence
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Representations of Commonsense Knowledge
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From statistical knowledge bases to degrees of belief
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Answering queries from context-sensitive probabilistic knowledge bases
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From knowledge bases to decision models
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Limited Rationality in Action: Decision Support for Military Situation Assessment
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Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
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Parameter Learning in Object-Oriented Bayesian Networks
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Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
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Representing and Reasoning with Probabilistic Knowledge
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Graphical Models in Applied Multivariate Statistics
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Self-Calibrating Priors Do Not Exist
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WHERE DO THE NUMBERS COME FROM?
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Security Situation Assessment and Response Evaluation (SSARE)
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Multi-entity Bayesian networks for situation assessment
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Krypton: A Functional Approach to Knowledge Representation
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Building probabilistic networks: "Where do the numbers come from?" guest editors' introduction
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Evidential reasoning for object recognition
inferredcites →https://doi.org/10.1145/360018.360022openalex-snapshot
Computer science as empirical inquiry
inferredcites →https://doi.org/10.1201/b13782-17openalex-snapshot
An Introduction to Mathematical Logic
inferredcites →https://doi.org/10.1214/aos/1176342360openalex-snapshot
A Bayesian Analysis of Some Nonparametric Problems
inferredcites →https://doi.org/10.13021/mars/2962openalex-snapshot
Detecting Threatening Behavior Using Bayesian Networks
inferredcites →https://doi.org/10.13021/mars/2968openalex-snapshot
Modeling Insider Behavior Using Multi-Entity Bayesian Networks
inferredcites →https://doi.org/10.13021/mars/2975openalex-snapshot
PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support
inferredcites →https://doi.org/10.1613/jair.62openalex-snapshot
Operations for Learning with Graphical Models
inferredcites →https://doi.org/10.2307/2289883openalex-snapshot
Statistical Analysis With Missing Data
inferredcites →https://doi.org/10.2307/2291371openalex-snapshot
The Evidential Foundations of Probabilistic Reasoning.
inferredcites →https://doi.org/10.2307/2345252openalex-snapshot
Theory of Probability, A Critical Introductory Treatment.
inferredcites →https://doi.org/10.2307/2348941openalex-snapshot
A Language and Program for Complex Bayesian Modelling
inferredcites →https://doi.org/10.2307/2981683openalex-snapshot
Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
inferredcites →https://doi.org/10.2307/2982875openalex-snapshot
Scientific Reasoning: The Bayesian Approach.
inferredcites →https://doi.org/10.48550/arxiv.1301.0577openalex-snapshot
Efficient Nash Computation in Large Population Games with Bounded Influence
inferredcites →https://doi.org/10.48550/arxiv.1301.0603openalex-snapshot
Real-Time Inference with Large-Scale Temporal Bayes Nets
inferredcites →https://doi.org/10.48550/arxiv.1301.2287openalex-snapshot
Hypothesis Management in Situation-Specific Network Construction
inferredcites →https://doi.org/10.48550/arxiv.1301.3856openalex-snapshot
Being Bayesian about Network Structure
inferredcites →https://doi.org/10.48550/arxiv.1302.1554openalex-snapshot
Object-Oriented Bayesian Networks
inferredcites →https://doi.org/10.48550/arxiv.1302.1557openalex-snapshot
Network Fragments: Representing Knowledge for Constructing Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.1302.1558openalex-snapshot
Computational Advantages of Relevance Reasoning in Bayesian Belief Networks
inferredcites →https://doi.org/10.48550/arxiv.1302.3562openalex-snapshot
Context-Specific Independence in Bayesian Networks
inferredcites →https://doi.org/10.5860/choice.27-2696openalex-snapshot
Scientific reasoning: the Bayesian approach
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Artificial intelligence: a modern approach
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BLOG: Probabilistic Models with Unknown Objects
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Scene Interpretation Using Bayesian Network Fragments
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Belief Networks for Bioinformatics
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New Advances in Logic-Based Probabilistic Modeling by PRISM
inferred← citeshttps://doi.org/10.1007/978-3-642-02846-5_4openalex-snapshot
Generative Modeling by PRISM
inferred← citeshttps://doi.org/10.1007/978-3-642-16696-9_14openalex-snapshot
Automatic Ontology Evolution in Open and Dynamic Computing Environments
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Probabilistic Relational Models for Operational Risk: A New Application Area and an Implementation Using Domain Ontologies
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Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks
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Robot Reasoning Using First Order Bayesian Networks
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A glimpse of symbolic-statistical modeling by PRISM
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Quantum Physical Symbol Systems
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Interactive construction of graphical decision models based on causal mechanisms
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Service-based situational awareness on the Semantic Web
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Decision Supporting Approach under Uncertainty for Feature-Oriented Adaptive System
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Ontology Oriented Threat Detection System (OOTDS)
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Probabilistic ontology for net-centric fusion
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A model of an ontology oriented threat detection system (OOTDS)
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Evaluation of first order Bayesian networks for context modeling and reasoning
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An MEBN framework as a dynamic firewall's knowledge flow architecture
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Multi-layer Bayesian Network for Variable-Bound Inference
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Semantic web for net-enabled decision making
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A Survey of Directed Entity-Relation--Based First-Order Probabilistic Languages
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Probabilistic Ontologies for Efficient Resource Sharing in Semantic Web Services
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PLASMA: Combining Predicate Logic and Probability for Information Fusion and Decision Support
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Toward Context Awareness in the Cooperation of Underwater Robots
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The Semantic Web for Knowledge and Data Management
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Probabilistic Models for the Semantic Web
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A Probabilistic Approach to Detect and Prevent Bandwidth Depletion Attacks
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On the evolution of ontologies using probabilistic description logics
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BLOG: Probabilistic Models with Unknown Objects
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