A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
We are developing a conversational agent called VIBRANT to provide adaptive support for brainstorming in pairs in a scientific inquiry context. Our previous experimental study indi...
Software process research deals with the methods and technologies used to assess, support, and improve software development activities. The field has grown up during the 80s to ad...