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Learning explainable templated graphical models
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由 V Embar 著作2022 — Templated graphical models (TGMs) encode model structure using rules that capture recurring relationships between multiple random variables.
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Learning Explainable Templated Graphical Models
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由 VR Embar 著作 — We propose a new structure learning algorithm that learns a templated graphical model and an explanation framework for its predictions.
Learning Explainable Templated Graphical Models
Proceedings of Machine Learning Research
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Proceedings of Machine Learning Research
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由 V Embar 著作2022 — Templated graphical models (TGMs) encode model structure using rules that capture recurring relationships between multiple random variables.
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Learning Explainable Templated Graphical Models - NSF-PAR
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National Science Foundation (.gov)
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由 V Embar 著作2022 — Templated graphical models (TGMs) encode model structure using rules that capture recurring relationships between multiple random variables.
Learning Explainable Templated Graphical Models ... - LINQS
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Lemma. For a graphical model G with a set of potentials. Φ, let Qi denote the number of potentials that involve Xi, and let QG ≜ maxi Qi.
Learning explainable templated graphical models.
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Varun Embar, Sriram Srinivasan, Lise Getoor: Learning explainable templated graphical models. UAI 2022: 621-630. manage site settings.
Varun R Embar
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International Workshop on Mining and Learning with Graphs (MLG), 2020. 1, 2020. Learning explainable templated graphical models. V Embar, S Srinivasa, L Getoor.
Graphical Models
Temple University
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In this chapter, we shall focus on the key aspects of graphical models as needed for applications in pattern recognition and machine learning. ... explain ...
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Assessing Model Requirements for Explainable AI
Massachusetts Institute of Technology
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Massachusetts Institute of Technology
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2023年11月1日 — In this article, we posit that learning classifier systems (LCSs) are well suited to be used within the proposed SL agent by reviewing different ...
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