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Collection : Universite De Lorraine
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Academic Journal

A statistical learning perspective on switched linear system identification

Subjects: Model selection; Statistical learning; System identification

  • Source: ISSN: 0005-1098 ; Automatica ; https://hal.univ-lorraine.fr/hal-03770655 ; Automatica, 2022, 145, pp.110532. ⟨10.1016/j.automatica.2022.110532⟩.

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Conference

Regularized switched system identification: A statistical learning perspective

Subjects: Model selection; Statistical learning; System identificationBrussel (Virtual Event); Belgium

  • Source: 7th IFAC International Conference on Analysis and Design of Hybrid Systems, ADHS'2021https://hal.science/hal-033241207th IFAC International Conference on Analysis and Design of Hybrid

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Dissertation/ Thesis

Models and algorithms for statistical learning of point processes with interactions. Application : cosmological data analysis and characterization ; Modèles et algorithmes pour l’apprentissage statistique des processus ponctuels avec interactions. Application : analyse et caractérisation de données cosmologiques

Subjects: Spatial Markov processes; Statistical learning; Spatial statistics

  • Source: https://theses.hal.science/tel-05569988 ; Mathématiques [math]. Université de Lorraine, 2025. Français. ⟨NNT : 2025LORR0268⟩.

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Conference

Study the galaxy distribution characterisation via Bayesian statistical learning of spatial marked point processes

Subjects: [MATH]Mathematics [math]; [STAT]Statistics [stat]Nancy; France

  • Source: RING Meeting ; https://hal.science/hal-04163649 ; RING Meeting, École nationale supérieure de géologie (ENSG) Nancy, Sep 2023, Nancy, France

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Conference

Study the galaxy distribution characterisation via Bayesian statistical learning of spatial marked point processes

Subjects: [MATH]Mathematics [math]; [STAT]Statistics [stat]Nancy; France

  • Source: RING Meeting ; https://hal.science/hal-04228475 ; RING Meeting, 2023, Nancy, France

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Academic Journal

Uniform error bounds for quantized dynamical models

Subjects: System identification; Statistical learning theory; dependent data

  • Source: ISSN: 2468-6018 ; IFAC Journal of Systems and Control ; https://hal.science/hal-05508951 ; IFAC Journal of Systems and Control, 2026, 35, pp.100373. ⟨10.1016/j.ifacsc.2026.100373⟩.

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Dissertation/ Thesis

On the role of statistical learning at the very beginning of learning to read ; Le rôle de l'apprentissage statistique aux tout-débuts de l'apprentissage de la lecture

Subjects: Grapheme-Phoneme correspondence; Syllabic bridge; Writing system

  • Source: https://theses.hal.science/tel-04558770 ; Psychology. Université de Lorraine, 2023. English. ⟨NNT : 2023LORR0236⟩.

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Conference

How statistical learning can help to estimate the number of modes in switched system identification?

Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]ItalyPadova (Virtual Event), Italy

  • Source: 19th IFAC Symposium on System Identification, SYSID 2021https://hal.science/hal-0332406919th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (Virtual Event), Italy

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Dissertation/ Thesis

Statistical learning for the streamlining of mineral exploration processes‎: applications to a world-class uranium province (Athabasca Basin, Canada) ; Apprentissage statistique pour la rationalisation des processus d’exploration minière‎ : applications à une province uranifère de classe mondiale (bassin de l’Athabasca, Canada)

Subjects: Uranium deposits; Mineral exploration; Machine-Learning

  • Source: https://hal.univ-lorraine.fr/tel-05326607 ; Earth Sciences. Université de Lorraine, 2025. English. ⟨NNT : 2025LORR0037⟩.

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Other/Unknown Material

Optimization and statistical learning theory for piecewise smooth and switching regression ; Optimisation et théorie statistique de l'apprentissage pour la régression douce par morceaux et à commutations

Subjects: classification; regression; optimization

  • Source: https://hal.univ-lorraine.fr/tel-02307957 ; Machine Learning [cs.LG]. Université de Lorraine, 2019.

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  • 1-10 of  33 results for ""statistical learning""