We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with l...
Francisco Iacobelli, Larry Birnbaum, Kristian J. H...
Abstract. A variant of iterative learning in the limit (cf. [LZ96]) is studied when a learner gets negative examples refuting conjectures containing data in excess of the target la...