Large Deviation Principle for the Greedy Exploration Algorithm over Erd\'os-R\'enyi Graphs

Autor: Bermolen, P., Goicoechea, V., Jonckheere, M., Mordecki, E.

We prove a large deviation principle for a greedy exploration process on an Erd\"os-R\'enyi (ER) graph when the number of nodes goes to infinity. To prove our main result, we use the general strategy to study large deviations of processes proposed by

Externí odkaz: http://arxiv.org/abs/2007.04753

Scheduling in a random environment: stability and asymptotic optimality

Autor: Ayesta, U., Erausquin, M., Jonckheere, M., Verloop, I. M.

We investigate the scheduling of a common resource between several concurrent users when the feasible transmission rate of each user varies randomly over time. Time is slotted and users arrive and depart upon service completion. This may model for ex

Externí odkaz: http://arxiv.org/abs/1101.5794

Robust classification with flexible discriminant analysis in heterogeneous data

Autor: Houdouin, Pierre, Wang, Andrew, Jonckheere, M, Pascal, Frédéric

Publikováno v: International Conference on Acoustics, Speech and Signal Processing
International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747576⟩

Linear and Quadratic Discriminant Analysis are well-known classical methods but can heavily suffer from non-Gaussian distributions and/or contaminated datasets, mainly because of the underlying Gaussian assumption that is not robust. To fill this gap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c12f2ed2004a4d02f5d924be859c7aaf
http://arxiv.org/abs/2201.02967

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Stochastic Bounds for Two-Layer Loss Systems.

Autor: Jonckheere, M.¹ (AUTHOR), Leskelä, L.² (AUTHOR) lasse.leskela@iki.fi

Publikováno v: Stochastic Models. Oct-Dec2008, Vol. 24 Issue 4, p583-603. 21p. 1 Diagram, 2 Charts, 3 Graphs.