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JMLR
2006
389views more  JMLR 2006»
15 years 1 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,...
SSDBM
2009
IEEE
174views Database» more  SSDBM 2009»
15 years 8 months ago
Optimization and Execution of Complex Scientific Queries over Uncorrelated Experimental Data
Scientific experiments produce large volumes of data represented as complex objects that describe independent events such as particle collisions. Scientific analyses can be express...
Ruslan Fomkin, Tore Risch
MASCOTS
2004
15 years 3 months ago
Architecture Independent Performance Characterization and Benchmarking for Scientific Applications
A simple, tunable, synthetic benchmark with a performance directly related to applications would be of great benefit to the scientific computing community. In this paper, we prese...
Erich Strohmaier, Hongzhang Shan
CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 1 months ago
Data Sharing Options for Scientific Workflows on Amazon EC2
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Meht...
WKDD
2010
CPS
238views Data Mining» more  WKDD 2010»
14 years 11 months ago
3D Scientific Data Mining in Ion Trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. ...
J. M. Sharif, M. Mahadi Abdul Jamil, Md. Asri Ngad...