antonio iorio (22 resultados)

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Paperback. Condición: Brand New. 116 pages. Italian language. 9.06x5.91x0.28 inches. In Stock.

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Encuadernación de tapa blanda. Condición: Bien. Idioma español. Intonso. Sumario: Semblanza científica del R. P. L. Rodrigo, SI ( Fidel García Martínez) - Obra jurídica y personalidad del del R. P. E. F. Regatillo (Luis A. Muñoyerro) - Consultas resueltas en la revista Sal Terrae por el R. P. Regatillo ( Olís Robleda, SI) - Una moral para comerciantes en el siglo XVI: Significación de la Suma de Fr. Tomás de Mercado en la historia de la teología moral ( Pedro M. Abellán, SI) - Materia e forma dell Ordine Sacro secondo la ConstituzioneApostolica di Pio XII Sacramentum Ordinis ( Tommaso A. Iorio) - Status perfectionis in mundo ex accommodatione circunstantiis ( E. Jombart) - Una glosa al tratado de Santo Tomás sobre las pasiones ( Pedro Lumbreras , OP) - Disposicao do Concilio I Bracarense sobre os intersticios em relacao com as normas juridico canonicas anteriores sobre o mesmo asunto ( J. Antonio Martins Gigante) - De relatione potestatem administrativam inter et iudicialem, questio peculiaris ( Raymundus Bidagor, SI) - Notae historicae ad Instructionem S.C.S.O. De motione oecumenica ( Gerardus Oesterle, OSB) - La aequitas en Aristoteles, Cicerón, Santo Tomás y Suárez. Estudio comparativo ( O. Robleda, SI).

Paperback. Condición: New.

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Taschenbuch. Condición: Neu. Supervised and Unsupervised Statistical Data Analysis | Antonio D'Ambrosio (u. a.) | Taschenbuch | ix | Englisch | 2025 | Springer | EAN 9783032030412 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volume s treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact.The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 8 10, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis.

Paperback. Condición: Brand New. 500 pages. 9.26x6.11x9.25 inches. In Stock.

brossura flessibile. Condición: Good. Libro lievemente ingiallito. Brossura editoriale. Guide e Soluzioni. flessibile 1246 9788821749452 Buono (Good) . Book.

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Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volume s treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact.The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 8 10, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis. 354 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volume's treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch.

Paperback. Condición: new. Paperback. The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor. Innovative approaches to statistical modeling, addressing spatial dependencies and circular data structures, are presented alongside significant advances in interpretable machine learning that reconcile statistical precision with algorithmic transparency. Particularly noteworthy is the volumes treatment of complex data structures, including novel methods for network analysis, high-dimensional clustering, temporal pattern recognition and optimization techniques. The volume interweaves methodological innovation and practical relevance, and the applications span diverse domains, including the social sciences and biomedical engineering, each demonstrating the effective translation of statistical theory into real-world impact. The book contains peer-reviewed contributions presented at the special edition of the 15th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, namely the International Scientific Joint Meeting of the Italian and Dutch-Flemish Classification Societies (CLADAG-VOC 2025), held in Naples, Italy, September 810, 2025. The conference provided fresh perspectives on the current state of research in clustering, classification and data analysis, and underpinned the value and significance of international collaboration, addressing the emerging needs of an increasingly complex data landscape and offering novel solutions to long-standing challenges in statistical data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.