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» Effectively Visualizing Large Networks Through Sampling
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SOFTVIS
2010
ACM
13 years 6 months ago
Dependence cluster visualization
Large clusters of mutual dependence have long been regarded as a problem impeding comprehension, testing, maintenance, and reverse engineering. An effective visualization can aid ...
Syed S. Islam, Jens Krinke, David Binkley
SIGMETRICS
1990
ACM
129views Hardware» more  SIGMETRICS 1990»
14 years 1 months ago
An Analytical Model of Multistage Interconnection Networks
Multiprocessors require an interconnection network to connect processors with memory modules. The performance of the interconnection network can have a large effect upon overall s...
Darryl L. Willick, Derek L. Eager
BMCBI
2006
94views more  BMCBI 2006»
13 years 9 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
HIPC
2009
Springer
13 years 6 months ago
Automatic data placement and replication in grids
Data grids provide geographically distributed storage and computing resources for large data-intensive applications. To support fast data access and processing, effective data man...
Ying Ding, Ying Lu
CGA
2005
13 years 9 months ago
Designing a Visualization Framework for Multidimensional Data
visualization to abstract data sets like network intrusion detection, recommender systems, and database query results. Although display algorithms are a critical component in the v...
Brent M. Dennis, Sarat Kocherlakota, Amit P. Sawan...