This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Machine Learning and Planning for Data Management in Forestry
December 1995 (vol. 10 no. 6)
pp. 35-40
Seidam uses a planning-based approach that combines three problem-solving methods-transformational analogy, derivational analogy, and goal regression-to automatically answer forest-management queries.
Citation:
Stan Matwin, Daniel Charlebois, David G. Goodenough, Pal Bhogal, "Machine Learning and Planning for Data Management in Forestry," IEEE Intelligent Systems, vol. 10, no. 6, pp. 35-40, Dec. 1995, doi:10.1109/64.483115
Usage of this product signifies your acceptance of the Terms of Use.