In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
—This paper presents an approach using social semantics for the task of topic labelling by means of Open Topic Models. Our approach utilizes a social ontology to create an alignm...
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
There has been considerable interest in the identification of structural properties of combinatorial problems that lead, directly or indirectly, to the development of efficient al...
Bistra N. Dilkina, Carla P. Gomes, Yuri Malitsky, ...
We consider two-party quantum protocols starting with a transmission of some random BB84 qubits followed by classical messages. We show a general “compiler” improving the secur...