This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Using Background Knowledge to Improve Inductive Learning: A Case Study in Molecular Biology
October 1994 (vol. 9 no. 5)
pp. 3-6

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.