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Diffstat (limited to 'finale/final_report.tex')
| -rw-r--r-- | finale/final_report.tex | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/finale/final_report.tex b/finale/final_report.tex index 4203fa5..522e3a7 100644 --- a/finale/final_report.tex +++ b/finale/final_report.tex @@ -76,8 +76,8 @@ Diffusion Processes} Maximum-Likelihood estimator for the edge weights, a Bayesian treatment of the problem is still lacking. In this work, we establish a scalable Bayesian framework for the unified NIP formulation of \cite{pouget}. Furthermore, we - show how this Bayesian framework leads to intuitive and effective heuristics - to greatly speed up learning. + show how this Bayesian framework leads to intuitive and effective active + learning heuristics which greatly speed up learning. \end{abstract} \section{Introduction} |