?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Connectionist+Taxonomy+Learning&rft.creator=Frey%2C+Miloslaw&rft.subject=Language&rft.subject=Semantics&rft.subject=Machine+Learning&rft.subject=Neural+Nets&rft.description=The+paper+at+hand+describes+an+approach+to+automatise+the+creation+of+a+class+taxonomy.+Information+about+objects%2C+e.g.+%22a+tank+is+armored+and+moves+by+track%22%2C+but+no+prior+knowledge+about+taxonomy+structure+is+presented+to+a+connectionist+system+which+organizes+itself+by+means+of+activation+spreading+(McClelland+and+Rumelhart%2C+1981)+and+weight+adjustments.+The+resulting+connectionist+network+has+a+form+of+a+taxonomy+sought-after.&rft.date=2004&rft.type=Other&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F3943%2F1%2Fcategorization.pdf&rft.identifier=++Frey%2C+Miloslaw++(2004)+Connectionist+Taxonomy+Learning.+++++(Unpublished)++&rft.relation=http%3A%2F%2Fcogprints.org%2F3943%2F