76 citations · 357 across the 44 of their papers we have counts for
5 papers · 1 filter
Active Learning for Crowd-Sourced Databases
Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin +2
Crowd-sourcing has become a popular means of acquiring labeled data for a wide variety of tasks where humans are more accurate than computers, e.g., labeling images, matching objec…
The Big Data Bootstrap
Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar +1
The bootstrap provides a simple and powerful means of assessing the quality of estimators. However, in settings involving large datasets, the computation of bootstrap-based quantit…
Nonparametric Link Prediction in Dynamic Networks
Purnamrita Sarkar, Deepayan Chakrabarti, Michael Jordan
We propose a non-parametric link prediction algorithm for a sequence of graph snapshots over time. The model predicts links based on the features of its endpoints, as well as those…
A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs
Purnamrita Sarkar, Andrew Moore
Recently there has been much interest in graph-based learning, with applications in collaborative filtering for recommender networks, link prediction for social networks and fraud…
Getting It All from the Crowd
Beth Trushkowsky, Tim Kraska, Michael J. Franklin +1
Hybrid human/computer systems promise to greatly expand the usefulness of query processing by incorporating the crowd for data gathering and other tasks. Such systems raise many da…