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Table 1 Properties of multi-annotator algorithms.

From: Learning by aggregating experts and filtering novices: a solution to crowdsourcing problems in bioinformatics

Algorithms

Unsupervised?

Integrate labels globally?

Data dependent?

Filter novice annotation?

MV

Y

N

N

N

MAP-ML

Y

Y

N

N

GMM-MAPML

Y

Y

Y

N

AEFN

Y

Y

Y

Y

  1. The comparisons of properties of multi-annotator algorithms are shown. 'Y' denotes that the algorithm has the property; 'N' denotes that the algorithm doesn't have the property.
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BMC Bioinformatics

ISSN: 1471-2105

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