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» Scalable Transfer Patterns
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CCGRID
2008
IEEE
14 years 3 months ago
Scalable Data Gathering for Real-Time Monitoring Systems on Distributed Computing
Real-time monitoring is increasingly becoming important in various scenes of large scale, multi-site distributed/parallel computing, e.g, understanding behavior of systems, schedu...
Yoshikazu Kamoshida, Kenjiro Taura
ICML
2009
IEEE
14 years 9 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
CIKM
2009
Springer
14 years 3 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
HPDC
2002
IEEE
14 years 1 months ago
Predicting Sporadic Grid Data Transfers
The increasingly common practice of replicating datasets and using resources as distributed data stores in Grid environments has led to the problem of determining which replica ca...
Sudharshan Vazhkudai, Jennifer M. Schopf
CVPR
2009
IEEE
15 years 3 months ago
Domain Transfer SVM for Video Concept Detection
Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...