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FUIN
2008
88views more  FUIN 2008»
14 years 12 months ago
Learning from Skewed Class Multi-relational Databases
Relational databases, with vast amounts of data
Hongyu Guo, Herna L. Viktor
TMC
2012
13 years 2 months ago
Mobile Data Offloading through Opportunistic Communications and Social Participation
—3G networks are currently overloaded, due to the increasing popularity of various applications for smartphones. Offloading mobile data traffic through opportunistic communicatio...
Bo Han, Pan Hui, V. S. Anil Kumar, Madhav V. Marat...
EMNLP
2009
14 years 9 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu
FLAIRS
2006
15 years 1 months ago
Design, Implementation and Performance Analysis of Pervasive Surveillance Networks
Pervasive surveillance implies the continuous tracking of multiple targets as they move about the monitored region. The tasks to be performed by a surveillance system are expresse...
Amit Goradia, Zhiwei Cen, Clayton Haffner, Ning Xi...
JIPS
2006
72views more  JIPS 2006»
14 years 12 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim