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  3. Jensen, Finn V. [Author]; Nielsen, Thomas D. [Author] ; Nielsen, Thomas S. [Other]

    Bayesian networks and decision graphs - [2. ed.]

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    New York, NY; Berlin; Heidelberg [u.a.]: Springer, 2007

    Published in: Information science and statistics

  5. Kalita, Kanak [Editor]; Ganesh, Narayanan [Editor]; Pālamurukan̲, Ca [Editor]

    Metaheuristics for machine learning : algorithms and applications

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    Hoboken, NJ; Beverly, MA: John Wiley & Sons, Inc., 2024 ; Hoboken, NJ; Beverly, MA: Scrivener Publishing LLC, 2024

  8. Liu, Zongyi [Author] ; Toulouse, INSA [Contributor]; Dragomirescu, Daniela [Contributor]; Da Costa, Georges [Contributor]; Monteil, Thierry [Contributor]

    Self-Adaptive Bandwidth Control for Balanced QoS and Energy Aware Optimization in Wireless Sensor Network ; Contrôle de bande passante auto-adaptatif pour une qualité de service équilibrée et une optimisation énergétique optimisée dans le réseau de capteurs sans fil

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    theses.fr, 2017-07-04

  14. Carastan dos Santos, Danilo [Author] ; Université Grenoble Alpes (ComUE) [Contributor]; Universidade Federal do ABC [Contributor]; Trystram, Denis [Contributor]; De Camargo, Raphael Yokoingawa [Contributor]

    Apprentissage sur heuristiques simples pour l'ordonnancement online de tâches parallèles ; Learning about simple heuristics for online parallel job scheduling

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    theses.fr, 2019-11-27

  17. Selingue, Maxime [Author] ; Paris, HESAM [Contributor]; Bearee, Richard [Contributor]

    amélioration de la précision de structures sérielles poly-articulées par des méthodes d'apprentissage automatique économes en données ; accuracy improvement of serial poly-articulated systems using data-efficient machine learning methods

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    theses.fr, 2023-12-22

  18. Petit, Grégoire [Author] ; Marne-la-vallée, ENPC [Contributor]; Picard, David [Contributor]; Delezoide, Bertrand [Contributor]

    Class-Incremental Learning in an Exemplar-Free setup ; Apprentissage incrémental par classes en environnement sans exemples passés

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    theses.fr, 2023-12-05

  19. Guillet, Valentin [Author] ; Toulouse, ISAE [Contributor]; Aguilar Melchor, Carlos [Contributor]; Rachelson, Emmanuel [Contributor]

    Distillation de réseaux de neurones pour la généralisation et le transfert en apprentissage par renforcement ; Neural network distillation for generalization and transfer in reinforcement learning

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    theses.fr, 2022-11-25

  20. Mita, Graziano [Author] ; Sorbonne université [Contributor]; Michiardi, Pietro [Contributor]

    Toward interpretable machine learning, with applications to large-scale industrial systems data ; Contributions à l'apprentissage automatique interprétable : applications aux données de systèmes industriels à grande échelle

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    theses.fr, 2021-04-27