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» Maximizing data locality in distributed systems
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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 27 days ago
DXCS: an XCS system for distributed data mining
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Hai Huong Dam, Hussein A. Abbass, Chris Lokan
IPSN
2007
Springer
14 years 1 months ago
NIST smart data flow system II: speaker localization
Multimodal applications require the acquisition and processing of massive amounts of information from multiple sensors. Because this process is beyond the capabilities of a single...
Antoine Fillinger, Lukas Diduch, Imad Hamchi, St&e...
ICML
2005
IEEE
14 years 8 months ago
Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
DCC
2007
IEEE
14 years 7 months ago
Joint Optimization of Distributed Broadcast Quantization Systems for Classification
We develop a simulated annealing technique to jointly optimize a distributed quantization structure meant to maximize the asymptotic error exponent of a downstream classifier or d...
Michael A. Lexa, Don H. Johnson
SKG
2006
IEEE
14 years 1 months ago
Using Ontologies to Support Customisation and Maintain Interoperability in Distributed Information Systems with Application to t
Abstract. Global distributed systems must be standards-based to allow interoperability between all of their components. While this guarantees interoperability, it often causes loca...
Nickolas J. G. Falkner, Paul D. Coddington, Andrew...