We introduce, discuss, and study a model for inductive inference from samplings, formalizing an idea of learning different “projections” of languages. One set of our results addresses the problem of finding a uniform learner for all samplings of a language from a certain set when learners for particular samplings are available. Another set of results deals with extending learnability from a large natural set of samplings to larger sets. A number of open problems is formulated.
Inductive Inference of Languages from SamplingsComputer Science & Information Technology Faculty Publications
Document TypeConference Proceeding
Citation InformationJain, Sanjay and Efim Kinber. "Inductive Inference of Languages from Samplings." Proceedings. Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010.