%0 Journal Article
	%A Tsuyoshi Okita and  Tatsuya Niwa
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 6, 2007
	%T Modeling Language for Machine Learning
	%U https://publications.waset.org/pdf/3044
	%V 6
	%X For a given specific problem an efficient algorithm has
been the matter of study. However, an alternative approach orthogonal
to this approach comes out, which is called a reduction. In general
for a given specific problem this reduction approach studies how to
convert an original problem into subproblems. This paper proposes
a formal modeling language to support this reduction approach. We
show three examples from the wide area of learning problems. The
benefit is a fast prototyping of algorithms for a given new problem.
	%P 1760 - 1763