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Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning

Kadie, Carl M.
arXiv (All) · Papers
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i-2-6machine-learning
Learning research, as one of its central goals, tries to measure, model, and understand how learning-problem properties affect average-case learning performance. For example, we would like to quantify the value of constructive induction, noise filtering, and background knowledge. This paper describe
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