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...
: 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...
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....
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...
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 ...