—Significant research has been done on recognizing the daily activities using acceleration data but few works have focused on classifying the movements comprising an activity du...
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Discovering correspondences between schema elements is a crucial task for data integration. Most schema matching tools are semiautomatic, e.g. an expert must tune some parameters ...
Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In par...
Sameer S. Pradhan, Lance A. Ramshaw, Ralph M. Weis...
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome conicts in the behavior of agents can make the execution of interacti...