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» Optimizing the distribution of large data sets in theory and...
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SIGCOMM
2010
ACM
13 years 7 months ago
NapSAC: design and implementation of a power-proportional web cluster
Energy consumption is a major and costly problem in data centers. A large fraction of this energy goes to powering idle machines that are not doing any useful work. We identify tw...
Andrew Krioukov, Prashanth Mohan, Sara Alspaugh, L...
CIKM
2009
Springer
14 years 8 days ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
INFOCOM
2005
IEEE
14 years 1 months ago
Improved single-round protocols for remote file synchronization
— Given two versions of a file, a current version located on one machine and an outdated version known only to another machine, the remote file synchronization problem is how t...
Utku Irmak, Svilen Mihaylov, Torsten Suel