Approximate Inference in Collective Graphical Models

We study the problem of approximate inference in collective graphical models (CGMs), which were recently introduced to model the problem of learning and inference with noisy aggregate observations. We first analyze the complexity of inference in CGMs: unlike inference in conventional graphical model...

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Bibliographic Details
Main Authors: SHELDON, Daniel, SUN, Tao, KUMAR, Akshat, DIETTERICH, Thomas G.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
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Online Access:https://ink.library.smu.edu.sg/sis_research/2199
https://ink.library.smu.edu.sg/context/sis_research/article/3199/viewcontent/sheldon13.pdf
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Institution: Singapore Management University
Language: English

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