An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models

Alfredo Cuzzocrea; Enzo Mumolo; Marwan Hassani

doi:10.1109/SMC.2018.00502

An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models

Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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This paper proposes and experimentally assesses a machine learning approach for supporting the effective and efficient generation of synthetic memory reference traces for a wide range of application scenarios. The proposed approach makes a nice use of extended hierarchical Markov models.

Originele taal-2	Engels
Titel	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	2953-2959
Aantal pagina's	7
ISBN van elektronische versie	9781538666500
DOI's	https://doi.org/10.1109/SMC.2018.00502
Status	Gepubliceerd - 16 jan 2019
Evenement	2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018) - Miyazaki, Japan Duur: 7 okt 2018 → 10 okt 2018 http://www.smc2018.org/

Congres

Congres	2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018)
Verkorte titel	SMC2018
Land	Japan
Stad	Miyazaki
Periode	7/10/18 → 10/10/18
Internet adres	http://www.smc2018.org/

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10.1109/SMC.2018.00502

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Citeer dit

Cuzzocrea, A., Mumolo, E., & Hassani, M. (2019). An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (blz. 2953-2959). [8616498] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SMC.2018.00502

Cuzzocrea, Alfredo ; Mumolo, Enzo ; Hassani, Marwan. / An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers, 2019. blz. 2953-2959

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Cuzzocrea, A, Mumolo, E & Hassani, M 2019, An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models. in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 8616498, Institute of Electrical and Electronics Engineers, blz. 2953-2959, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), Miyazaki, Japan, 7/10/18. https://doi.org/10.1109/SMC.2018.00502

An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models. / Cuzzocrea, Alfredo; Mumolo, Enzo; Hassani, Marwan.

Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers, 2019. blz. 2953-2959 8616498.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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Cuzzocrea A, Mumolo E, Hassani M. An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers. 2019. blz. 2953-2959. 8616498 https://doi.org/10.1109/SMC.2018.00502