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IPPS
2002
IEEE
15 years 11 months ago
Cluster Load Balancing for Fine-Grain Network Services
This paper studies cluster load balancing policies and system support for fine-grain network services. Load balancing on a cluster of machines has been studied extensively in the...
Kai Shen, Tao Yang, Lingkun Chu
TNN
1998
254views more  TNN 1998»
15 years 6 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
15 years 12 months ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli
CCGRID
2001
IEEE
15 years 10 months ago
TACO-Exploiting Cluster Networks for High-Level Collective Operations
TACO (Topologies and Collections) is a template library that introduces the flavour of distributed data parallel processing by means of reusable topology classes and C++ s. This p...
Jörg Nolte, Mitsuhisa Sato, Yutaka Ishikawa
BMCBI
2004
100views more  BMCBI 2004»
15 years 6 months ago
Auto-validation of fluorescent primer extension genotyping assay using signal clustering and neural networks
Background: SNP genotyping typically incorporates a review step to ensure that the genotype calls for a particular SNP are correct. For high-throughput genotyping, such as that pr...
Ching Yu Austin Huang, Joel F. Studebaker, Anton Y...