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» Distributed Data Mining Models as Services on the Grid
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PDP
2003
IEEE
15 years 11 months ago
On Using ZENTURIO for Performance and Parameter Studies on Cluster and Grid Architectures
Over the last decade, a dramatic increase has been observed in the need for generating and organising data in the course of large parameter studies, performance analysis, and soft...
Radu Prodan, Thomas Fahringer, Michael Geissler, G...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
15 years 1 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
16 years 17 days ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
TMC
2010
130views more  TMC 2010»
15 years 4 months ago
Efficient Coverage Maintenance Based on Probabilistic Distributed Detection
—Many wireless sensor networks require sufficient sensing coverage over long periods of time. To conserve energy, a coverage maintenance protocol achieves desired coverage by act...
Guoliang Xing, Xiangmao Chang, Chenyang Lu, Jianpi...
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
16 years 13 days ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti