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- From: erik@til.com (Erik Horstkotte)
- Subject: Re: Learning from subjective data
- Message-ID: <1992Dec22.183803.6126@til.til.com>
- Sender: usenet@til.til.com
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- Reply-To: erik@til.com
- Organization: Togai InfraLogic, Inc.
- References: <ALMOND.92Dec21220007@bass.statsci.com>
- Date: Tue, 22 Dec 1992 18:38:03 GMT
- Lines: 26
-
- R. Bharat Rao (bharat@cs.uiuc.edu) writes:
- > I was wondering if anyone knew of any work that has been done on
- > learning from subjective data. For instance, you may have a data set
- > of events with a number of independent attribute (x1...xn) and a
- > single dependent attribute y. However, y is a subjective rating.
- >
- > For instance, the event could be a work of art and the x's could be
- > various nominal/real-valued attribues of the painting. Then paintings
- > in the datasets would be given a grade on (say) beauty (the "y"
- > attribute) by a number of different "experts" (whose notions of
- > good/bad/indifferent obviously vary wildly). Each painting would be
- > rated only once by a randomly chosen expert (from an arbitrarily large
- > pool of experts -- perhaps even a different expert for every
- > painting).
-
- I think that Bart Kosko of USC did some work on Fuzzy Cognitive Maps for
- exactly this kind of ambiguous / contradictory problem. You might want
- to check out his books on neural nets and fuzzy logic to see if he ever
- published any of the material. I know he mentioned it to us verbally
- here at TIL.
- ---
- Erik Horstkotte, Togai InfraLogic, Inc.
- The World's Source for Fuzzy Logic Solutions (The company, not me!)
- erik@til.com, gordius!til!erik - (714) 975-8522
- info@til.com for info, fuzzy-server@til.com for fuzzy mail-server
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