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  <title>e-sygoing.link — Belief Networks</title>
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  <description>Latest links in the Belief Networks category</description>
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    <title>Qualitative Verbal Explanations in Bayesian Belief Networks</title>
    <link>https://e-sygoing.link/link/5633667-qualitative-verbal-explanations-in-bayesian-belief-networks</link>
    <description>Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning.</description>
    <pubDate>Tue, 05 May 2026 08:53:53 -0400</pubDate>
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    <title>Belief Networks and Variational Methods : Amos Storkey</title>
    <link>https://e-sygoing.link/link/5633669-belief-networks-and-variational-methods-amos-storkey</link>
    <description>Dynamic Trees are mixtures of tree structured belief networks, and are used as models for image segmentation and tracking.</description>
    <pubDate>Wed, 04 Feb 2026 04:15:50 -0500</pubDate>
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    <title>Query DAGs: A Practical Paradigm for Implementing Belief-Network Inference</title>
    <link>https://e-sygoing.link/link/5633668-query-dags-a-practical-paradigm-for-implementing-belief-netw</link>
    <description>Article published in JAIR (Journal of AI Research) about a way to implement belief networks by compiling networks into arithmetic expressions and then answering queries using an evaluation algorithm.</description>
    <pubDate>Fri, 19 Sep 2025 08:32:39 -0400</pubDate>
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    <title>Daphne&#039;s Approximate Group of Students (DAGS)</title>
    <link>https://e-sygoing.link/link/5633675-daphnes-approximate-group-of-students-dags</link>
    <description>Daphne Koller&#039;s research group on probabilistic representation, reasoning, and learning at Stanford University</description>
    <pubDate>Tue, 24 Dec 2024 03:28:01 -0500</pubDate>
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    <title>Belief Revision</title>
    <link>https://e-sygoing.link/link/5633674-belief-revision</link>
    <description>Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia</description>
    <pubDate>Mon, 16 Dec 2024 07:52:01 -0500</pubDate>
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    <title>Learning Bayesian Networks from Data</title>
    <link>https://e-sygoing.link/link/5633673-learning-bayesian-networks-from-data</link>
    <description>Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks, given at the Neural Information Processing Systems (NIPS-2001) conference</description>
    <pubDate>Mon, 11 Nov 2024 19:20:06 -0500</pubDate>
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    <title>A Brief Introduction to Graphical Models and Bayesian Networks</title>
    <link>https://e-sygoing.link/link/5633670-a-brief-introduction-to-graphical-models-and-bayesian-networ</link>
    <description>Kevin Murphy&#039;s tutorial, including a recommended reading list.</description>
    <pubDate>Tue, 10 Sep 2024 00:07:37 -0400</pubDate>
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    <title>Bayesian Network Repository</title>
    <link>https://e-sygoing.link/link/5633676-bayesian-network-repository</link>
    <description>Maintained by Gal Elidan - over a dozen publicly available networks with documentation, in several popular interchange formats</description>
    <pubDate>Mon, 15 Jul 2024 00:04:39 -0400</pubDate>
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    <title>Association for Uncertainty in Artificial Intelligence</title>
    <link>https://e-sygoing.link/link/5633666-association-for-uncertainty-in-artificial-intelligence</link>
    <description>Main association for belief network researchers. Runs the annual Uncertainty in Artificial Intelligence (UAI) conferences, and the UAI mailing list.</description>
    <pubDate>Tue, 09 Jan 2024 01:50:12 -0500</pubDate>
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