There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...
One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...