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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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2013
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Subjects: | |
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 |