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ASPLOS
1996
ACM
13 years 11 months ago
Shasta: A Low Overhead, Software-Only Approach for Supporting Fine-Grain Shared Memory
This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compa...
Daniel J. Scales, Kourosh Gharachorloo, Chandramoh...
IJCAI
2003
13 years 9 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
BMCBI
2008
228views more  BMCBI 2008»
13 years 7 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
BMCBI
2007
141views more  BMCBI 2007»
13 years 7 months ago
HeliCis: a DNA motif discovery tool for colocalized motif pairs with periodic spacing
Background: Correct temporal and spatial gene expression during metazoan development relies on combinatorial interactions between different transcription factors. As a consequence...
Erik Larsson, Per Lindahl, Petter Mostad
BMCBI
2008
121views more  BMCBI 2008»
13 years 7 months ago
Stability of gene contributions and identification of outliers in multivariate analysis of microarray data
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
Florent Baty, Daniel Jaeger, Frank Preiswerk, Mart...