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ICML
2002
IEEE
15 years 10 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
SOSP
2009
ACM
15 years 6 months ago
The multikernel: a new OS architecture for scalable multicore systems
Commodity computer systems contain more and more processor cores and exhibit increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects, instructio...
Andrew Baumann, Paul Barham, Pierre-Évarist...
HPDC
2009
IEEE
15 years 4 months ago
Maintaining reference graphs of globally accessible objects in fully decentralized distributed systems
Since the advent of electronic computing, the processors’ clock speed has risen tremendously. Now that energy efficiency requirements have stopped that trend, the number of proc...
Björn Saballus, Thomas Fuhrmann
COLT
2008
Springer
14 years 11 months ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
CGO
2010
IEEE
15 years 4 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...