We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
At the heart of today’s information-explosion problems are issues involving semantics, mutual understanding, concept matching, and interoperability. Ontologies and the Semantic ...
Yuri A. Tijerino, David W. Embley, Deryle W. Lonsd...
Cultural institutions increasingly see the need to play an important role in the lifelong learning of citizens. Recent trends, particularly in science museums, have been toward su...
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is prop...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...