A Bayesian approach to network modularity • Generative model: die rolling for module assignments, coin-flipping for edges • Inference: variational Bayes for approximations to posteriors complexity control • Stoch - Generative science - Document - PDFSEARCH.IO

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	A Bayesian approach to network modularity • Generative model: die rolling for module assignments, coin-flipping for edges • Inference: variational Bayes for approximations to posteriors + complexity control • Stoch Add to Reading List Document Date: 2009-01-22 17:20:55 Open Document File Size: 399,47 KB Share Result on Facebook Company Xing / / Country Jordan / Netherlands / / Facility Columbia University / / IndustryTerm node networks / / Organization Columbia University / / ProgrammingLanguage VB / / SportsEvent 2000 NCAA / / SocialTag Logic Network theory Modularity Conference on Neural Information Processing Systems Inference Variational Bayesian methods Bayesian statistics Knowledge Science

A Bayesian approach to network modularity • Generative model: die rolling for module assignments, coin-flipping for edges • Inference: variational Bayes for approximations to posteriors + complexity control • StochAdd to Reading List