A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...
In the two decades hand-held calculators have been readily available there has been ample time to develop a usable design and to educate the consumer public into choosing quality d...
Pharos is a collaborative application which enables users to share document annotations. Annotations of a same subject are stored altogether in channels, and channels are replicat...
Abstract—Diffusions are useful for image processing and computer vision because they provide a convenient way of smoothing noisy data, analyzing images at multiple scales, and en...