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Abstract: The thresholding of document scores has proved critical for the e ectiveness of classi cation tasks. We review the most important approaches to thresholding, and introduce the score-distributional (S-D) threshold optimization method. The method is based on score distributions and is capable of optimizing any e ectiveness measure de ned in terms of the traditional contingency table. (Update)
Context of citations to this paper: More
...along during ltering, and the scores of all its documents must be recalculated after every query update. 4. 2 The S D Method The S D method [2, 4] eliminates the need for a document bu er by using the statistical properties of scores rather than their actual values. Statistical...
...with scores above a certain threshold # are relevant. Then P (miss) is given by the area under p(x rel) bounded by # on the right (see [1] for a similar expression in the filtering case) and P (fa) is similarly found: P (miss) # p(x rel)dx and P (fa) # p(x nrel)dx...
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BibTeX entry: (Update)
Arampatzis, A. and van Hameren, A. (2000). ScoreDistributional Threshold Optimization for Adaptive Binary Classication Tasks. Technical report, University of Nijmegen. To appear. Available from http://www.cs.kun.nl/avgerino. 22 http://citeseer.ist.psu.edu/arampatzis01scoredistributional.html More
@inproceedings{ arampatzis01scoredistributional,
author = "Avi Arampatzis and Andre van Hameren",
title = "The Score-Distributional Threshold Optimization for Adaptive Binary Classification Tasks",
booktitle = "Research and Development in Information Retrieval",
pages = "285-293",
year = "2001",
url = "citeseer.ist.psu.edu/arampatzis01scoredistributional.html" }
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