Open Science Research Excellence

Tatsuya Niwa

Publications

1

Publications

1
3044
Modeling Language for Machine Learning
Abstract:
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.
Keywords:
Formal language, statistical inference problem, reduction.