Decision-Making and Learning - Comparing Orthogonal Methods to Majority-Voting

نویسنده

  • Daniel W. Repperger
چکیده

A study on learning and decision-making methods was conducted by comparing an orthogonal methodology of manipulating data versus that of a majorityvoting procedure. The latter method has recently become popular in the literature involving applications such as pattern recognition. To evaluate the differences between the proposed methods, data from a multidimensional paradigm involving decisionmaking and learning are analyzed. A number of basic concepts from estimation and information theory are first discussed to understand both the motivation and the underlining issues involved in conducting this study.

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تاریخ انتشار 2009