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Some contributions to computational Bayesian methods with application to phylolinguistics ; Quelques contributions aux méthodes computationnelles bayesiennes, avec applications à la phylolinguistique
Clarté, Grégoire. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03546821 ; Statistics [math.ST]. Université Paris sciences et lettres, 2021. English. ⟨NNT : 2021UPSLD008⟩ (2021)
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Quelques contributions aux méthodes computationnelles bayesiennes, avec applications à la phylolinguistique ; Some contributions to computational Bayesian methods with application to phylolinguistics
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3
Unsupervised learning of natural language morphology using non-parametric bayesian models ; Apprentissage non-supervisé de la morphologie des langues à l’aide de modèles bayésiens non-paramétriques
Löser, Kevin. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02354184 ; Informatique et langage [cs.CL]. Université Paris Saclay (COmUE), 2019. Français. ⟨NNT : 2019SACLS203⟩ (2019)
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Build a Bayesian Network from FMECA in the Production of Automotive Parts: Diagnosis and Prediction
In: ISSN: 2405-8963 ; IFAC-PapersOnLine ; https://hal.archives-ouvertes.fr/hal-03034479 ; IFAC-PapersOnLine, Elsevier, 2019, 52 (13), pp.2572-2577. ⟨10.1016/j.ifacol.2019.11.594⟩ (2019)
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5
Multilevel models for the analysis of linguistic data ...
Alexander, Craig. - : University of Glasgow, 2019
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6
Modelling Dependency Structures Produced by the Introduction of a Flipped Classroom
In: Mathematics ; Volume 8 ; Issue 1 (2019)
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7
Probabilistic grammar and constructional predictability: Bayesian generalized additive models of help + (to) Infinitive in varieties of web-based English
In: Glossa: a journal of general linguistics; Vol 3, No 1 (2018); 55 ; 2397-1835 (2018)
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8
The interaction of language processing and eye movement control during reading
Abbott, Matthew James Hansen. - : eScholarship, University of California, 2016
In: Abbott, Matthew James Hansen. (2016). The interaction of language processing and eye movement control during reading. UC San Diego: Psychology. Retrieved from: http://www.escholarship.org/uc/item/4052r0s7 (2016)
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9
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers
In: https://hal.archives-ouvertes.fr/hal-01134246 ; [Research Report] Université Jean Monnet, Saint-Étienne (42); Département d'Informatique et de Génie Logiciel, Université Laval (Québec); ENS Paris; IST Austria. 2016 (2016)
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10
Discovering latent structures in syntax trees and mixed-type data
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11
Inducing grammars from linguistic universals and realistic amounts of supervision
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12
Statistical Analysis of Online Eye and Face-Tracking Applications in Marketing
Liu, Xuan. - 2015
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13
A nonparametric Bayesian perspective for machine learning in partially-observed settings ...
Akova, Ferit. - : IUPUI University Library, 2014
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14
A nonparametric Bayesian perspective for machine learning in partially-observed settings
Akova, Ferit. - 2014
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15
Rich Linguistic Structure from Large-Scale Web Data
Yamangil, Elif. - 2013
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16
Improved Phrase Translation Modeling Using Maximum A-Posteriori (MAP) Adaptation
In: DTIC (2013)
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17
Ein neues Verfahren für namensbasierte Zufallsstichproben von Migranten
In: Methoden, Daten, Analysen (mda) ; 7 ; 1 ; 5-33 (2013)
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18
Constructing flexible feature representations using nonparametric Bayesian inference
Austerweil, Joseph Larry. - : eScholarship, University of California, 2012
In: Austerweil, Joseph Larry. (2012). Constructing flexible feature representations using nonparametric Bayesian inference. UC Berkeley: Psychology. Retrieved from: http://www.escholarship.org/uc/item/7cc9s9hs (2012)
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19
Constructing flexible feature representations using nonparametric Bayesian inference
Austerweil, Joseph Larry. - : eScholarship, University of California, 2012
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20
Exemplar Models as a Mechanism for Performing Bayesian Inference
In: DTIC (2010)
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