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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 8 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
14 years 1 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
ICCV
2007
IEEE
16 years 8 months ago
Boosting Invariance and Efficiency in Supervised Learning
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
Andrea Vedaldi, Paolo Favaro, Enrico Grisan
ICDE
2008
IEEE
166views Database» more  ICDE 2008»
16 years 7 months ago
A Clustered Index Approach to Distributed XPath Processing
Supporting top-k queries over distributed collections of schemaless XML data poses two challenges. While XML supports expressive query languages such as XPath and XQuery, these la...
Georgia Koloniari, Evaggelia Pitoura
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
16 years 6 months ago
Extensible optimization in overlay dissemination trees
We introduce XPORT, a profile-driven distributed data dissemination system that supports an extensible set of data types, profile types, and optimization metrics. XPORT efficientl...
Olga Papaemmanouil, Yanif Ahmad, Ugur Çetin...