---
abstract: "A new way of measuring generalization in unsupervised learning is presented. The measure is based on an exclusive allocation, or credit assignment, criterion. In a classifier that satisfies the criterion, input patterns are parsed so that the credit for each input feature is assigned exclusively to one of multiple, possibly overlapping, output categories. Such a classifier achieves context-sensitive, global representations of pattern data. Two additional constraints, sequence masking and uncertainty multiplexing, are described; these can be used to refine the measure of generalization. The generalization performance of EXIN networks, winner-take-all competitive learning networks, linear decorrelator networks, and Nigrin's SONNET-2 network is compared."
altloc:
  - http://www.cs.unc.edu/Research/brainlab/PAPERS/xfer-bind9701.ps.gz
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creators_name:
  - family: Marshall
    given: J.A.
    honourific: ''
    lineage: ''
  - family: Schmitt
    given: C.P.
    honourific: ''
    lineage: ''
  - family: Kalarickal
    given: G.J.
    honourific: ''
    lineage: ''
  - family: Alley
    given: R.K.
    honourific: ''
    lineage: ''
date: 1998-01
date_type: published
datestamp: 1998-04-28
department: ~
dir: disk0/00/00/04/36
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editors_id: []
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eprint_status: archive
eprintid: 436
fileinfo: /style/images/fileicons/application_postscript.png;/436/2/xfer%2Dbind9701.ps
full_text_status: public
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isbn: ~
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item_issues_count: 0
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keywords: ~
lastmod: 2011-03-11 08:53:55
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metadata_visibility: show
note: ~
number: ~
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pubdom: FALSE
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refereed: TRUE
referencetext: ~
relation_type: []
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reportno: ~
rev_number: 10
series: ~
source: ~
status_changed: 2007-09-12 16:27:50
subjects:
  - cog-psy
  - comp-sci-art-intel
  - comp-sci-complex-theory
  - comp-sci-mach-learn
  - comp-sci-mach-vis
  - comp-sci-neural-nets
  - comp-sci-stat-model
  - percep-cog-psy
succeeds: ~
suggestions: ~
sword_depositor: ~
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thesistype: ~
title: Neural model of transfer-of-binding in visual relative motion perception.
type: preprint
userid: 106
volume: ~
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