?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=The+management+of+context-sensitive+features%3A+A+review+of+strategies&rft.creator=Turney%2C+Peter&rft.subject=Artificial+Intelligence&rft.subject=Machine+Learning&rft.subject=Statistical+Models&rft.description=In+this+paper%2C+we+review+five+heuristic+strategies+for+handling+context-+sensitive+features+in+supervised+machine+learning+from+examples.+We+discuss+two+methods+for+recovering+lost+(implicit)+contextual+information.+We+mention+some+evidence+that+hybrid+strategies+can+have+a+synergetic+effect.+We+then+show+how+the+work+of+several+machine+learning+researchers+fits+into+this+framework.+While+we+do+not+claim+that+these+strategies+exhaust+the+possibilities%2C+it+appears+that+the+framework+includes+all+of+the+techniques+that+can+be+found+in+the+published+literature+on+context-sensitive+learning.+%0A%0A&rft.date=1996&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F1865%2F3%2FNRC-39221.pdf&rft.identifier=++Turney%2C+Peter++(1996)+The+management+of+context-sensitive+features%3A+A+review+of+strategies.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F1865%2F