Fundamental Experimental Research in Machine Learning

@inproceedings{Dietterich1997FundamentalER,
  title={Fundamental Experimental Research in Machine Learning},
  author={Thomas G. Dietterich},
  year={1997}
}
Fundamental research in machine learning is inherently empirical, because the performance of machine learning algorithms is determined by how well their underlying assumptions match the structure of the world. Hence, no amount of mathematical analysis can determine whether a machine learning algorithm will work well. Experimental studies are required. To understand this point, consider the well-studied problem of supervised learning from examples. This problem is usually stated as follows. An… CONTINUE READING
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