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JMLR
2006
389views more  JMLR 2006»
15 years 4 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
HPDC
2008
IEEE
15 years 4 months ago
File grouping for scientific data management: lessons from experimenting with real traces
Abstract-The analysis of data usage in a large set of real traces from a high-energy physics collaboration revealed the existence of an emergent grouping of files that we coined &q...
Shyamala Doraimani, Adriana Iamnitchi
DBISP2P
2005
Springer
79views Database» more  DBISP2P 2005»
15 years 10 months ago
A Gradient Topology for Master-Slave Replication in Peer-to-Peer Environments
Open peer-to-peer architectures offer many possibilities for replicating database content, but designers have to deal with problems such as peer churn rates and inherent uncertain...
Jan Sacha, Jim Dowling
TEC
2008
115views more  TEC 2008»
15 years 4 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
SIGOPS
2010
163views more  SIGOPS 2010»
14 years 11 months ago
Automated control of internet services
Finding an efficient configuration for cluster-based multi-tier Internet services is often a difficult task. Moreover, even a good configuration could become obsolete, depending o...
Jean Arnaud