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PPOPP
1997
ACM
13 years 11 months ago
Effective Fine-Grain Synchronization for Automatically Parallelized Programs Using Optimistic Synchronization Primitives
As shared-memory multiprocessors become the dominant commodity source of computation, parallelizing compilers must support mainstream computations that manipulate irregular, point...
Martin C. Rinard
IJCAI
1989
13 years 8 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
BMCBI
2008
102views more  BMCBI 2008»
13 years 7 months ago
Improving protein function prediction methods with integrated literature data
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...
Aaron Gabow, Sonia M. Leach, William A. Baumgartne...
CASES
2004
ACM
13 years 11 months ago
Automatic data partitioning for the agere payload plus network processor
With the ever-increasing pervasiveness of the Internet and its stringent performance requirements, network system designers have begun utilizing specialized chips to increase the ...
Steve Carr, Philip H. Sweany
GECCO
2007
Springer
171views Optimization» more  GECCO 2007»
14 years 1 months ago
Toward a better understanding of rule initialisation and deletion
A number of heuristics have been used in Learning Classifier Systems to initialise parameters of new rules, to adjust fitness of parent rules when they generate offspring, and ...
Tim Kovacs, Larry Bull