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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 6 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima
SIROCCO
2008
15 years 6 months ago
Sharpness: A Tight Condition for Scalability
: A distributed system is scalable if the rate at which it completes its computation and communication tasks does not depend on its size. As an example, the scalability of a peer-t...
Augustin Chaintreau
NIPS
2007
15 years 6 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
PDPTA
2007
15 years 6 months ago
Mobile Thin-Client System with Fault Tolerance and Scalability by "HTTP-FUSE-KNOPPIX-BOX"
We have developed a mobile thin-client server named ”HTTP-FUSE-KNOPPIX-BOX” that incorporates mechanisms for increasing performance, distributing load, and providing fault tole...
Jun Kanai, Mitaro Namiki, Kuniyasu Suzaki, Toshiki...
VMV
2008
107views Visualization» more  VMV 2008»
15 years 6 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
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