We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
We propose an open and extensible agent-based formal framework for modeling and simulating supply chains. Since structures and behaviors of supply chains can be very different bas...
We compare the relative utility of different automatically computable linguistic feature sets for modeling student learning in computer dialogue tutoring. We use the PARADISE frame...
Katherine Forbes-Riley, Diane J. Litman, Amruta Pu...
Many agents are fielded within environments requiring modeling traditional organizational structures such as military hierarchies and corporations, with their associated authority...
Marcus J. Huber, Sanjeev Kumar, David McGee, Sean ...
Internet marketplaces are now faced with new challenges that arise from the need to seamlessly integrate enormous number of product catalogs from different sources. In order to he...