Most mainstream system programming languages provide support for builtin types, and extension mechanisms through userdefined types. They also come with a notion of constant expre...
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
This paper concerns learning binary-valued functions defined on IR, and investigates how a particular type of ‘regularity’ of hypotheses can be used to obtain better generali...
Informative labeling schemes consist in labeling the nodes of graphs so that queries regarding any two nodes (e.g., are the two nodes adjacent?) can be answered by inspecting mere...
d Abstract) Eric Allender Christopher Wilson Department of Computer Science Department of Computer Rutgers University and Information Science New Brunswick, NJ 08903, USA Universit...