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OSDI
2008
ACM
13 years 10 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 2 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
RTAS
2002
IEEE
14 years 16 days ago
Achieving End-to-end Predictability in the TAO Real-time CORBA ORB
End-to-end predictability of operations is essential for many fixed-priority distributed real-time and embedded (DRE) applications, such as command and control systems, manufactu...
Irfan Pyarali, Douglas C. Schmidt, Ron Cytron
CIKM
2009
Springer
14 years 2 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
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 2 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...