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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-05-19 00:32:39 +0200 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-05-19 00:32:39 +0200 |
| commit | 0fd1178dcffa025772bf5bfc43f24e692596747a (patch) | |
| tree | 30c634c871efe9116f291456be2f6b6587b37215 /paper/sections/model.tex | |
| parent | 26bfc9b9e69facabe838fc35a96263e5c487c8b3 (diff) | |
| download | cascades-0fd1178dcffa025772bf5bfc43f24e692596747a.tar.gz | |
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diff --git a/paper/sections/model.tex b/paper/sections/model.tex index 5d3a232..ecf5ad6 100644 --- a/paper/sections/model.tex +++ b/paper/sections/model.tex @@ -234,6 +234,7 @@ cascades, the graph inference problem becomes a linear inverse problem. Bernoulli realization whose parameters are given by applying $f$ to the matrix-vector product, where the measurement matrix encodes which nodes are ``contagious'' at each time step.} +\vspace{-1em} \end{figure} Inferring the model parameter $\Theta$ from observed influence cascades is the |