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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Mathematical Statistics
2021
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| Online Access: | https://hdl.handle.net/1721.1/129620 |