Learning a tree-structured ising model in order to make predictions

We study the problem of learning a tree Ising model from samples such that subsequent predictions made using the model are accurate. The prediction task considered in this paper is that of predicting the values of a subset of variables given values of some other subset of variables. Virtually all pr...

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Bibliographic Details
Main Authors: Bresler, Guy (Author), Karzand, Mina (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Mathematical Statistics, 2021-02-02T13:01:12Z.
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