Spatial filtering is a widely used dimension reduction method in electroencephalogram based brain-computer interface systems. In this paper a new algorithm is proposed, which learn...
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Software product lines - families of similar but not identical software products - need to address the issue of feature variability. That is, a single feature might require various...
— Bloom filters are a well known data structure for approximate set membership. Bloom filters are space efficient but require many independent hashes and consecutive memory acces...
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...