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Using background knowledge to improve inductive learning: a case study in molecular biology

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2 Author(s)
Hirsh, H. ; Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA ; Noordewier, M.

This work uses background knowledge to reexpress training data in a form more appropriate for inductive learning. The approach dramatically improves the results of decision-tree and neural network learning methods.<>

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IEEE Expert  (Volume:9 ,  Issue: 5 )