Artifacts—representations that express properties or captured information—can serve to inspire, represent, and manage the decisions made throughout the design process. This wo...
D. Scott McCrickard, Michael E. Atwood, Gayle Curt...
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
This paper explores ways by which multiple authors can annotate 3D models from multiple viewpoints in a 3D collaborative environment, with particular reference to the environment ...
Rieko Kadobayashi, Julian Lombardi, Mark P. McCahi...
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....