Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Object-oriented case representations require approaches for similarity assessment that allow to compare two differently structured objects, in particular, objects belonging to diff...
Visualization of volumetric data faces the difficult task of finding effective parameters for the transfer functions. Those parameters can determine the effectiveness and accuracy ...
In contrast to a large body of theoretical work on computer systems, distributed systems are not idealised constructions, unconstrained by physical world limitations. They must be...
We describe collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecolog...
Deana Pennington, Joshua S. Madin, Ferdinando Vill...