WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/15086,
	  title     = {Modeling Language for Constructing Solvers in Machine Learning: Reductionist Perspectives},
	  author    = {Tsuyoshi Okita},
	  country	= {},
	  institution	= {},
	  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 in order to make a solver quickly. We show three examples from the wide area of learning problems. The benefit is a fast prototyping of algorithms for a given new problem. It is noted that our formal modeling language is not intend for providing an efficient notation for data mining application, but for facilitating a designer who develops solvers in machine learning.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {6},
	  year      = {2008},
	  pages     = {2256 - 2262},
	  ee        = {https://publications.waset.org/pdf/15086},
	  url   	= {https://publications.waset.org/vol/18},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 18, 2008},
	}