Excellence in Research and Innovation for Humanity
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@article{(International Science Index):http://waset.org/publications/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, Electrical, Automation, Control and Information Engineering},  volume    = {2},
  number    = {6},
  year      = {2008},
  pages     = {2256 - 2262},
  ee        = {http://waset.org/publications/15086},
  url       = {http://waset.org/Publications?p=18},
  bibsource = {http://waset.org/Publications},
  issn      = {PISSN:2010-376X, EISSN:2010-3778},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 18, 2008},
}