Deep Neural Network for Constraint Acquisition Through Tailored Loss Function

Author:

Vyhmeister EduardoORCID,Paez RocioORCID,Gonzalez-Castane GabrielORCID

Publisher

Springer Nature Switzerland

Reference20 articles.

1. O’Sullivan, B.: Automated modelling and solving in constraint programming. In: Twenty-Fourth AAAI Conference on Artificial Intelligence, vol. 24, no. 1, p. 2010 (2010)

2. Bessiere, C., et al.: Constraint acquisition via partial queries. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, pp. 475–481 (2013)

3. Daoudi, A., Mechqrane, Y., Bessiere, C., Lazaar, N., Bouyakhf, E.H.: Constraint acquisition using recommendation queriesff. In: International Joint Conference on Artificial Intelligence (IJCAI), New York, pp. 720–726 (2016)

4. Beldiceanu, N., Simonis, H.: ModelSeeker: extracting global constraint models from positive examples. In: Bessiere, C., De Raedt, L., Kotthoff, L., Nijssen, S., O’Sullivan, B., Pedreschi, D. (eds.) Data Mining and Constraint Programming. LNCS (LNAI), vol. 10101, pp. 77–95. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-50137-6_4

5. Arcangioli, R., Bessiere, C., Lazaar, N.: Multiple constraint acquisition. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), New York (2016)

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