Suchergebnisse - "hierarchical"

A hierarchical Bayesian model for payment delay prediction in supply chain financing.

Autoren: Kong, Lingxuan Brintrup, Alexandra

Quelle: International Journal of Production Research. Oct2025, p1-24. 24p. 9 Illustrations.

Schlagwörter: *HIERARCHICAL Bayes model, *RISK assessment, *CREDIT ratings, *SUPPLY chains, *CAPITAL financing, METADATA

Advancing species distribution dynamics modeling: spatial processes, sampling design and data integration

Autoren: Solà Vila, Oriol

Thesis Advisors: Brotons, Lluís, Aquilué Junyent, Núria, Retana Alumbreros, Javier

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Models de distribució, Species distribution models, Modelos de distribución, Dinàmica de distribució, Species distribution change, Dinámica de distribución, Models jeràrquics, Hierarchical models, Modelos jerárquicos, Ciències Experimentals

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695864

Product family formation based on optimal resource sequence for reconfigurable manufacturing system.

Autoren: Zhu, Xiaojun Wang, Junyi Xu, Zhigang et al.

Quelle: International Journal of Production Research. Jun2025, Vol. 63 Issue 11, p4202-4216. 15p.

Schlagwörter: *MANUFACTURING processes, *MANUFACTURING industries, *PRODUCT design, HIERARCHICAL clustering (Cluster analysis), SUCCESS

Confounding factors-aware hierarchical deep learning for sustainable edge wildfire detection

Autoren: El Madafri, Ismail

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Institut Universitari de Recerca en Ciència i Tecnologies de la Sostenibilitat

Thesis Advisors: Peña Carrera, Marta, Olmedo Torre, Noelia

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: wildfire detection, deep learning, confounding elements, multi-task learning, knowledge distillation, hierarchical learning, domain adaptation, edge devices, sustainable AI, environmental monitoring., detecció d'incendis forestals, aprenentatge profund, elements confusos, aprenentatge multitarea, destil·lació de coneixement, aprenentatge jeràrquic, adaptació al domini, dispositius edge, IA sostenible, monitoratge ambiental, detección de incendios forestales, aprendizaje profundo, elementos confusos, aprendizaje multitarea, destilación de conocimiento, aprendizaje jerárquico, adaptación al dominio, dispositivos edge, monitoreo ambiental., Àrees temàtiques de la UPC::Desenvolupament humà i sostenible, 502 - Natura. Estudi, conservació i protecció de la natura, 630 - Silvicultura. Arboricultura

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/695130
https://dx.doi.org/10.5821/dissertation-2117-440594

Compositionality for hierarchical reinforcement learning

Autoren: Infante Molina, Guillermo

Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Johnson, Anders, Gómez, Vicenç

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Markov decision process, Reinforcement learning, Hierarchical reinforcement learning, Compositionality, Optimal solutions, Temporal abstraction, State abstraction, Generalization, Dynamic-programming, Temporal difference, Artificial intelligence, Machine learning, Machine intelligence

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694345

Product centred Dirichlet processes for Bayesian multiview clustering.

Autoren: Dombowsky, Alexander Dunson, David B

Quelle: Journal of the Royal Statistical Society: Series B (Statistical Methodology). Nov2025, Vol. 87 Issue 5, p1331-1352. 22p.

Schlagwörter: *DISTRIBUTION (Probability theory), EPIDEMIOLOGICAL research, HIERARCHICAL clustering (Cluster analysis), CLUSTERING algorithms, DEPENDENCE (Statistics)

Machine learning-based customer segmentation: advances and applications in retail.

Autoren: Suh, Jihae Lee, Jaehwan

Quelle: Applied Economics Letters. Oct2025, p1-5. 5p. 2 Illustrations.

Schlagwörter: *MARKET segmentation, *RETAIL industry, *CONSUMER behavior, *ELECTRONIC commerce, *CUSTOMER relationship management, MACHINE learning, HIERARCHICAL clustering (Cluster analysis)

Exploring spatial network structures in entrepreneurial ecosystems: a network and clustering analysis of global venture funding flows.

Autoren: Noak, Nicolas Victor Christian, Lance

Quelle: Small Business Economics. Oct2025, Vol. 65 Issue 3, p1483-1500. 18p.

Schlagwörter: *CAPITAL movements, *INTERNATIONAL cooperation, *BUSINESS ecosystems, GEOSPATIAL data, HIERARCHICAL clustering (Cluster analysis), COMMUNICATION network analysis

Ratio-Based Distortion and Network Distance.

Autoren: Gao, Wei Wang, Weifan Zhang, Hainan

Quelle: International Journal of Foundations of Computer Science. Oct2025, p1-33. 33p.

Schlagwörter: *MATHEMATICAL analysis, *QUANTITATIVE research, HIERARCHICAL clustering (Cluster analysis), SCIENTIFIC observation

Hierarchical Bayesian models for small area estimation with GB2 distribution.

Autoren: Manandhar, Binod Nandram, Balgobin

Quelle: Journal of Applied Statistics. Oct2025, Vol. 52 Issue 13, p2448-2477. 30p.

Schlagwörter: *HIERARCHICAL Bayes model, *BAYESIAN analysis, *MONTE Carlo method, SMALL area statistics, TAYLOR'S series, BETA distribution, FINITE mixture models (Statistics)

When does bottom-up beat top-down in hierarchical community detection?

Autoren: Dreveton, Maximilien Kuroda, Daichi Grossglauser, Matthias et al.

Quelle: Journal of the American Statistical Association. Oct2025, p1-20. 20p. 6 Illustrations.

Schlagwörter: HIERARCHICAL clustering (Cluster analysis), CLUSTERING algorithms, RECURSIVE partitioning, COMMUNICATION network analysis

Beyond conventional statistical process control: Bayesian hierarchical modeling to track distributed industrial equipment performance.

Autoren: Puig-de-Dou, Ignasi Plandolit, Bernat Puig, Xavier

Quelle: Quality Technology & Quantitative Management. Nov2025, p1-13. 13p. 4 Illustrations.

Schlagwörter: *STATISTICAL process control, *HIERARCHICAL Bayes model, *PLANT performance, *DATA analysis, INTERNET of things, OUTLIER detection

Hierarchical Federated ADMM

Autoren: Azimi Abarghouyi, Seyed Mohammad Bastianello, Nicola Johansson, Karl H. et al.

Quelle: IEEE NETWORKING LETTERS. 7(1):11-15

Schlagwörter: Servers, Convex functions, Optimization, Linear programming, Privacy, Vectors, Training, Federated learning, Computational modeling, Accuracy, Machine learning, distributed optimization, ADMM, hierarchical networks

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-373461
https://doi.org/10.1109/lnet.2025.3527161

HUMAP: Hierarchical Uniform Manifold Approximation and Projection

Autoren: Marcilio-Jr, Wilson E. Eler, Danilo M. Paulovich, Fernando V. et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31(9):5741-5753

Schlagwörter: dimensionality reduction, hierarchical explora-tion, manifold learning, Computer Science, Datavetenskap

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-141133
https://doi.org/10.1109/tvcg.2024.3471181

Monitoring the Dynamic Networks of Stock Returns with an Application to the Swedish Stock Market

Autoren: Farahbakhsh Touli, Elena Nguyen, Hoang Bodnar, Olha

Quelle: Computational Economics. 65:1741-1758

Schlagwörter: Dynamic network, Hierarchical clustering tree, Stock returns, Tree distance, Swedish capital market

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-44174
https://doi.org/10.1007/s10614-024-10616-2

A multiscale spatiotemporal map of protein-RNA assemblies in human cells

Autoren: Guo, Xiangpeng

Weitere Verfasser: University/Department: Universitat Pompeu Fabra. Departament de Medicina i Ciències de la Vida

Thesis Advisors: Di Croce, Luciano, Esteban, Miguel A.

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Subcellular RNA-protein interaction, Multifaceted RBPs, RBP hierarchical structure, cRBP dynamic changes, coRIC map, Interacción subcelular ARN-proteína, Mapa coRIC, RBP multifacéticas, Estructura jerárquica del RBP, Cambios dinámicos de cRBP

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/692465

Facile fabrication of hierarchical PVDF/Mg–Al LDH/chitosan membrane for textile wastewater remediation: role of LDH in anchoring chitosan

Autoren: Xue, Yongtao Shao, Jieling Lê, Xuân Huy et al.

Quelle: Journal of Membrane Science. 739

Schlagwörter: Textile wastewater, Hierarchical membrane, Chitosan, Structural bridging role, Layered double hydroxides

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/549368
https://research.chalmers.se/publication/549368/file/549368_Fulltext.pdf

Predictors and barriers for biosecurity uptake and risk understanding among Ontario horse owners.

Alternate Title: Prédicteurs et obstacles à l'adoption de la biosécurité et à la compréhension des risques chez les propriétaires de chevaux de l'Ontario.

Autoren: Germann, Juliet A. O'Sullivan, Terri L. Greer, Amy L. et al.

Quelle: Canadian Veterinary Journal / Revue Vétérinaire Canadienne. Mar2025, Vol. 66 Issue 3, p288-297. 10p.

Schlagworte: Hierarchical clustering (Cluster analysis), Convenience sampling (Statistics), Horse owners, Personality, Biosecurity, Horse breeding

ECOSISTEMAS DE INNOVACIÓN: SEGMENTACIÓN Y ANÁLISIS DE LOS PAÍSES DE LA OCDE.

Alternate Title: INNOVATION ECOSYSTEMS: SEGMENTATION AND ANALYSIS OF OECD COUNTRIES.

Autoren: Reyes Ayala, Leonardo Cortina Calderón, Karina Guadalupe Morales Sáenz, Francisco Isaí

Quelle: Problemas del Desarrollo. Revista Latinoamericana de Economía. jul-sep2025, Vol. 56 Issue 222, p85-114. 30p.

Schlagwörter: *CLUSTER analysis (Statistics), HIERARCHICAL clustering (Cluster analysis), EXPLORATORY factor analysis, INSTITUTIONAL environment

Firma/Körperschaft: ORGANISATION for Economic Co-operation & Development

Assessing the impact of neighborhood structures in Bayesian disease mapping.

Autoren: Nguyen, Minh Hanh Neyens, Thomas Lawson, Andrew B. et al.

Quelle: Journal of Applied Statistics. Jul2025, p1-17. 17p. 5 Illustrations.

Schlagwörter: *COVID-19, *HIERARCHICAL Bayes model, *BAYESIAN analysis, SPATIAL data structures, DEATH rate, SPATIAL analysis (Statistics), NEIGHBORHOOD characteristics

Geografische Kategorien: BELGIUM