?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=A+Generalized+Method+for+Integrating+Rule-based+Knowledge+into+Inductive+Methods+Through+Virtual+Sample+Creation&rft.creator=Iqbal%2C+Ridwan+Al&rft.subject=Artificial+Intelligence&rft.subject=Machine+Learning&rft.description=Hybrid+learning+methods+use+theoretical+knowledge+of+a+domain+and+a+set+of+classified+examples+to+develop+a+method+for+classification.+Methods+that+use+domain+knowledge+have+been+shown+to+perform+better+than+inductive+learners.+However%2C+there+is+no+general+method+to+include+domain+knowledge+into+all+inductive+learning+algorithms+as+all+hybrid+methods+are+highly+specialized+for+a+particular+algorithm.+We+present+an+algorithm+that+will+take+domain+knowledge+in+the+form+of+propositional+rules%2C+generate+artificial+examples+from+the+rules+and+also+remove+instances+likely+to+be+flawed.+This+enriched+dataset+then+can+be+used+by+any+learning+algorithm.+Experimental+results+of+different+scenarios+are+shown+that+demonstrate+this+method+to+be+more+effective+than+simple+inductive+learning.++&rft.date=2011-01-25&rft.type=Preprint&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F7180%2F1%2FRASCAL.pdf&rft.identifier=++Iqbal%2C+Ridwan+Al++(2011)+A+Generalized+Method+for+Integrating+Rule-based+Knowledge+into+Inductive+Methods+Through+Virtual+Sample+Creation.++%5BPreprint%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F7180%2F