Detection of cheating by decimation algorithm

@article{Yamanaka2014DetectionOC,
  title={Detection of cheating by decimation algorithm},
  author={Shogo Yamanaka and Masayuki Ohzeki and Aurelien Decelle},
  journal={CoRR},
  year={2014},
  volume={abs/1410.3596}
}
We expand the item response theory to study the case of “cheat ing students” for a set of exams, trying to detect them by applying a greedy algorithm of i nference. This extended model is closely related to the Boltzmann machine learning. In thi s paper we aim to infer the correct biases and interactions of our model by considering a relati v ly small number of sets of training data. Nevertheless, the greedy algorithm that we employ ed in the present study exhibits good performance with a few… CONTINUE READING

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