Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishn...
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
Type systems currently available for imperative languages are too weak to detect a significant class of programming errors. For example, they cannot express the property that a l...
algorithms as networks of modules. The data flow architecture is popular because of the flexibility of mixing calculation modules with display modules, and because of its easy grap...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
Most recent graphics courses are what we would call topdown courses. Courses that focus on using graphical packages to implement and teach graphics. The course discussed in this p...