Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology October 1994 (vol. 9 no. 5) pp. 3-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/64.331477
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.
Citation:
Hayam Hirsh, Michiel Noordewier, "Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology," IEEE Intelligent Systems, vol. 9, no. 5, pp. 3-6, Oct. 1994, doi:10.1109/64.331477 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||