We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
: The Internet makes it easy to offer large assortments of products, tempting managers to chase the “long tail”—that is, the phenomenon in which niche products gain a signifi...
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Abstract. A t out of n threshold scheme is such that shares are distributed to n participants so that any set of t participants can compute the secret, whereas any set of less than...
Abstract-- Answering approximate queries on string collections is important in applications such as data cleaning, query relaxation, and spell checking, where inconsistencies and e...