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» Active Learning for Networked Data
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140
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CLUSTER
2004
IEEE
15 years 3 months ago
DyRAM: An Active Reliable Multicast Framework for Data Distribution
Group communications (multicast) are foreseen to be one of the most critical yet challenging technologies to meet the exponentially growing demands for data distribution in a large...
Moufida Maimour, CongDuc Pham
111
Voted
DGO
2008
126views Education» more  DGO 2008»
15 years 5 months ago
Active learning for e-rulemaking: public comment categorization
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
Stephen Purpura, Claire Cardie, Jesse Simons
180
Voted
ALT
2009
Springer
16 years 18 days ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
129
Voted
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 10 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
135
Voted
JASIS
2008
76views more  JASIS 2008»
15 years 3 months ago
Using importance flooding to identify interesting networks of criminal activity
Abstract. In spite of policy concerns and high costs, the law enforcement community is investing heavily in data sharing initiatives. Cross-jurisdictional criminal justice informat...
Byron Marshall, Hsinchun Chen, Siddharth Kaza