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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-12-11 18:32:19 -0500 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-12-11 18:32:19 -0500 |
| commit | 4206217325019092305f1b17a6e06e331f4d99c4 (patch) | |
| tree | b64af77ad3a41e026178d9f3a2ab4f6ec519b703 /finale/sections/experiments.tex | |
| parent | 5833bf439b19461600284299a3a1688dc6a1540f (diff) | |
| download | cascades-4206217325019092305f1b17a6e06e331f4d99c4.tar.gz | |
Add missing citations and fix bugs
Diffstat (limited to 'finale/sections/experiments.tex')
| -rw-r--r-- | finale/sections/experiments.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/finale/sections/experiments.tex b/finale/sections/experiments.tex index 8e5a9eb..74025f2 100644 --- a/finale/sections/experiments.tex +++ b/finale/sections/experiments.tex @@ -43,7 +43,7 @@ for the center node, points to its (clock-wise) neighbor. In order for the baseline to be fair, we choose to create cascades starting from the source node on the fly both in the case of the uniform source and for the active learning policy. Each cascade is therefore `observed' only once. We plot the RMSE of the -graph i.e. $RMSE^2 = \frac{1}{n^2} \|\hat \mathbf{\Theta} - +graph i.e. $RMSE^2 = \frac{1}{n^2} \|\hat{\mathbf{\Theta}} - \mathbf{\Theta}\|^2_2$. graphs/datasets |