Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
This poster describes an integrated set of stories and story-based activities that we have used in product development in IBM Software Group's Lotus product organizations. We...
Majie Zeller, Sandra L. Kogan, Michael J. Muller, ...
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
New mobile devices can be difficult to use because they give users access to powerful computing devices through small interfaces, which typically have limited input facilities. On...