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» Active Learning for Pipeline Models
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CCS
2010
ACM
13 years 8 months ago
A privacy recommendation wizard for users of social networking sites
Privacy is a huge problem for users of social networking sites. While sites like Facebook allow individual users to personalize fine-grained privacy settings, this has proven quit...
Lujun Fang, Heedo Kim, Kristen LeFevre, Aaron Tami
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 3 months ago
Guided Data Repair
In this paper we present GDR, a Guided Data Repair framework that incorporates user feedback in the cleaning process to enhance and accelerate existing automatic repair techniques...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
EDM
2011
197views Data Mining» more  EDM 2011»
12 years 7 months ago
Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Assessment on collaborative student behavior is a longstanding issue in user modeling. Nowadays thanks to the proliferation of online learning and the vast amount of data on studen...
Antonio R. Anaya, Jesus Boticario
GRAPHITE
2007
ACM
13 years 12 months ago
Compact and efficient generation of radiance transfer for dynamically articulated characters
We present a data-driven technique for generating the precomputed radiance transfer vectors of an animated character as a function of its joint angles. We learn a linear model for...
Derek Nowrouzezahrai, Patricio D. Simari, Evangelo...