Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7245| Title: | Estimating Dependency Structure as a Hidden Variable |
| Issue Date: | 9-Oct-2013 |
| Description: | This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EMand the Minimum Spanning Tree algorithm to find the ML and MAP mixtureof trees for a variety of priors, including the Dirichlet and the MDL priors. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-1611 CBCL-151 http://hdl.handle.net/1721.1/7245 |
| Appears in Collections: | MIT Items |
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