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» Large Scale Bayes Point Machines
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SIGMETRICS
1996
ACM
118views Hardware» more  SIGMETRICS 1996»
13 years 11 months ago
Integrating Performance Monitoring and Communication in Parallel Computers
A large and increasing gap exists between processor and memory speeds in scalable cache-coherent multiprocessors. To cope with this situation, programmers and compiler writers mus...
Margaret Martonosi, David Ofelt, Mark Heinrich
SAINT
2007
IEEE
14 years 1 months ago
Peer-to-Peer Scheduling System with Scalable Information Sharing Protocol
In traditional job scheduling systems for the Grid, a single or a few machines handle information of all computing resources and scheduling tasks. This centralized approach is not...
Norihiro Umeda, Hidemoto Nakada, Satoshi Matsuoka
AAAI
2006
13 years 9 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
LISA
1994
13 years 9 months ago
The Group Administration Shell and the GASH Network Computing Environment
Managing large scale UNIX networks so that users can use resources on multiple systems is traditionally performed using NIS, NFS, and DNS. Proper use of these tools requires exact...
Jonathan Abbey
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 8 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood