Sciweavers

Share
LFCS
1992
Springer

Machine Learning of Higher Order Programs

11 years 9 months ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of generator programs for computable functions is studied. To partially motivate these studies, it is shown that, in some cases, interesting global properties for computable functions can be proved from suitable generator programs which can not be proved from any ordinary programs for them. The power (for variants of various learning criteria from the literature) of learning generator programs is compared with the power of learning ordinary programs. The learning power in these cases is also compared to that of learning limiting programs, i.e., programs allowed finitely many mind changes about their correct outputs. 1 Preliminaries
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su
Added 10 Aug 2010
Updated 10 Aug 2010
Type Conference
Year 1992
Where LFCS
Authors Ganesh Baliga, John Case, Sanjay Jain, Mandayam Suraj
Comments (0)
books