On the Dirichlet Prior and Bayesian Regularization

A common objective in learning a model from data is to recover its network structure, while the model parameters are of minor interest. For example, we may wish to recover regulatory networks from high-throughput data sources. In this paper we examine how Bayesian regularization using a Dirichle...

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书目详细资料
Main Authors: Steck, Harald, Jaakkola, Tommi S.
语言:en_US
出版: 2004
主题:
在线阅读:http://hdl.handle.net/1721.1/6702