Approximate inference using DC programming for collective graphical models
Collective graphical models (CGMs) provide a framework for reasoning about a population of independent and identically distributed individuals when only noisy and aggregate observations are given. Previous approaches for inference in CGMs work on a junction-tree representation, thereby highly limiti...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3400 https://ink.library.smu.edu.sg/context/sis_research/article/4401/viewcontent/ApproximateInterference.pdf |
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| Institution: | Singapore Management University |
| Language: | English |