TSSort: Probabilistic Noise Resistant Sorting
June 16, 2016 Β· Declared Dead Β· π arXiv.org
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Authors
JΓΆrn Hees, Benjamin Adrian, Ralf Biedert, Thomas Roth-Berghofer, Andreas Dengel
arXiv ID
1606.05289
Category
cs.DS: Data Structures & Algorithms
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper we present TSSort, a probabilistic, noise resistant, quickly converging comparison sort algorithm based on Microsoft TrueSkill. The algorithm combines TrueSkill's updating rules with a newly developed next item pair selection strategy, enabling it to beat standard sorting algorithms w.r.t. convergence speed and noise resistance, as shown in simulations. TSSort is useful if comparisons of items are expensive or noisy, or if intermediate results shall be approximately ordered.
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