Detection of Cheating by Decimation Algorithm

We expand the item response theory to study the case of "cheating students" for a set of exams, trying to detect them by applying a greedy algorithm of inference. This extended model is closely related to the Boltzmann machine learning. In this paper we aim to infer the correct biases and...

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Veröffentlicht in:	Journal of the Physical Society of Japan 2015-02, Vol.84 (2), p.24801
Hauptverfasser:	Yamanaka, Shogo, Ohzeki, Masayuki, Decelle, Aurélien
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Condensed Matter Data Structures and Algorithms Machine Learning Physics Statistical Mechanics
Online-Zugang:	Volltext
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