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» Strategies in Rigid-Variable Methods
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IJCNN
2006
IEEE
15 years 9 months ago
Divide and Conquer Strategies for MLP Training
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
Smriti Bhagat, Dipti Deodhare
IJCNN
2006
IEEE
15 years 9 months ago
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
Alexei V. Ivanov, Alexander A. Petrovsky
SAC
2006
ACM
15 years 9 months ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
SC
2005
ACM
15 years 9 months ago
Performance Modeling and Tuning Strategies of Mixed Mode Collective Communications
On SMP clusters, mixed mode collective MPI communications, which use shared memory communications within SMP nodes and point-to-point communications between SMP nodes, are more e...
Meng-Shiou Wu, Ricky A. Kendall, Kyle Wright, Zhao...
CP
2005
Springer
15 years 9 months ago
Mind the Gaps: A New Splitting Strategy for Consistency Techniques
Classical methods for solving numerical CSPs are based on a branch and prune algorithm, a dichotomic enumeration process interleaved with a consistency filtering algorithm. In man...
Heikel Batnini, Claude Michel, Michel Rueher