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An Ounce of Knowledge Is Worth a Ton of Data: Quantitative Studies of the Trade-off Between Expertise and Data Based on Statistically Well-founded Empirical Induction
There is currently a division in knowledge acquisition research and practice between techniques for the transfer of existing knowledge from human experts and those for the creation of new expertise through machine learning. This paper reports studies of the spectrum of trade-offs between these two extremes, measuring the amount of data required to attain knowledge through empirical induction given different forms and levels of expertisE.This gives a principled economic evaluation of knowledge which can be used to guide knowledge acquisition theory and practicE.
What kind of writing is the following short passage?
A.Scientific paper.
B.Thesis abstract.
C.Research report.
D.Project introduction.