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From Deep Mixture Models towards Distributional Regression - Exploring Complex Multivariate Data

• Authors : Kock, Lucas;

Subjects: Mischmodelle; Regression; Multivariate Statistik

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Sensorimotor exploration: constraint awareness and social reinforcement in early vocal development

• Authors : Acevedo Valle, Juan Manuel; University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; ...

Subjects: Developmental robotics; Sensorimotor exploration; Constraint awareness

• Source: TDX (Tesis Doctorals en Xarxa)

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Aportacions de l'anàlisi composicional a les mixtures de distribucions

• Authors : Comas Cufí, Marc; University/Department: Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada i Estadística (2013-); ...

Subjects: Models de mixtura; Modelos de mixtura; Mixture models

• Source: TDX (Tesis Doctorals en Xarxa)

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Dynamic mixture models and longitudinal monitoring for mixed-type and spatio-temporal data inference : application in Public Health ; Modèles de mélange dynamiques et suivi longitudinal pour l'inférence de données mixtes et spatio-temporelles : application en Santé Publique

• Authors : Pruilh, Solange;

Subjects: Statistical modeling; Mixture models; Mixed-Type data

• Source: https://theses.hal.science/tel-04452903 ; Statistics [math.ST]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX065⟩.

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Regularized optimal transport for weights estimation in mixture models, and application to flow cytometry. ; Transport optimal régularisé pour l'estimation des poids dans des modèles de mélange, et application à la cytométrie en flux

• Authors : Freulon, Paul;

Subjects: Optimal transport; Entropic regularization; Mixture models

• Source: https://theses.hal.science/tel-04097776 ; Optimization and Control [math.OC]. Université de Bordeaux, 2023. English. ⟨NNT : 2023BORD0082⟩.

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Modelos de mezclas Gaussianas como clasificadores en el contexto de machine learning ; Gaussian mixture models as classifiers in the machine learning context

• Authors : Martinez Castillo, Daniel Stiven; Másmela Caita, Luis Alejandro

Subjects: Mezclas; Probabilidad; Machine

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Application of Multivariate Gaussian Convolution and Mixture Models for Identifying Key Biomarkers Underlying Variability in Transcriptomic Profiles and the Diversity of Therapeutic Responses ; Application de modèles de convolution et de mélange gaussiens pour l’identification des biomarqueurs clés sous-jacents à la variabilité des profils transcriptomiques et à la diversité des réponses thérapeutiques

• Authors : Chassagnol, Bastien;

Subjects: Mixture models; Cellular deconvolution; Transcriptomique

• Source: https://theses.hal.science/tel-04611760 ; Quantitative Methods [q-bio.QM]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS512⟩.

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Learning Diagonal Gaussian Mixture Models and Incomplete Tensor Decompositions

• Authors : Guo, Bingni; Nie, Jiawang

Subjects: Mathematics

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Symptom Cluster Analysis for Depression Treatment Outcomes and Growth Mixture Models for Analysis Association between Social Media Use Patterns and Anxiety Symptoms in Young Adults

• Authors : Chen, Ying

Subjects: Public health; Young adults--Mental health; Social media

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Finite Mixture Models based on Scale Mixtures of Skew-Normal distributions applied to serological data

• Authors : Domingues, Tiago Dias;

Subjects: serologia; modelos de mistura finitos; distribuição normal-assimétrica

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