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ICML
2007
IEEE
14 years 8 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
WWW
2009
ACM
14 years 8 months ago
Predicting click through rate for job listings
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
Manish S. Gupta
ICAS
2009
IEEE
139views Robotics» more  ICAS 2009»
14 years 2 months ago
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
Javier Alonso, Jordi Torres, Ricard Gavaldà
FCCM
2002
IEEE
127views VLSI» more  FCCM 2002»
14 years 12 days ago
Hardware-Assisted Fast Routing
To fully realize the benefits of partial and rapid reconfiguration of field-programmable devices, we often need to dynamically schedule computing tasks and generate instance-sp...
André DeHon, Randy Huang, John Wawrzynek
RTCSA
2000
IEEE
13 years 12 months ago
Optimal scheduling of imprecise computation tasks in the presence of multiple faults
With the advance of applications such as multimedia, imagelspeech processing and real-time AI, real-time computing models allowing to express the “timeliness versus precision”...
Hakan Aydin, Rami G. Melhem, Daniel Mossé