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Showing 1 - 12 of 12 results for “barbara vantaggi”
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  • Information Processing and Management of Uncertainty in Knowledge-Based Systems

    21st International Conference, IPMU 2026, Rome, Italy, June 15–19, 2026, Proceedings, Part II

    Edited by Barbara Vantaggi, Giulianella Coletti, Thierry Denoeux, Anne Laurent, Davide Petturiti, Enrique Miranda, Jesús Medina, Bernadette Bouchon-Meunier, Ronald R. Yager ...
    Series Book 2 - Springer Nature Proceedings excluding Computer Science
    This three-volume set CCIS 3019-3021 constitutes the proceedings of the 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2026, held in Rome, Italy, during June 15-19, 2026.The 111 full papers included in these volumes were carefully reviewed and selected from 254 submissions. They are organized into topical sections as follows ... Read more

    $116.09 USD

  • Information Processing and Management of Uncertainty in Knowledge-Based Systems

    21st International Conference, IPMU 2026, Rome, Italy, June 15–19, 2026, Proceedings, Part III

    Edited by Barbara Vantaggi, Giulianella Coletti, Thierry Denoeux, Anne Laurent, Davide Petturiti, Enrique Miranda, Jesús Medina, Bernadette Bouchon-Meunier, Ronald R. Yager ...
    Series Book 3 - Springer Nature Proceedings excluding Computer Science
    This three-volume set CCIS 3019-3021 constitutes the proceedings of the 21st International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2026, held in Rome, Italy, during June 15-19, 2026.The 111 full papers included in these volumes were carefully reviewed and selected from 254 submissions. They are organized into topical sections as follows ... Read more

    $107.09 USD

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  • Scalable Uncertainty Management

    12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings

    Edited by Davide Ciucci, Gabriella Pasi, Barbara Vantaggi ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018.The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, ... Read more

    $49.49 USD

  • Soft Methods for Data Science

    Edited by Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Olgierd Hryniewicz, Przemysław Grzegorzewski ...
    Series series Springer Nature Proceedings excluding Computer Science
    This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy).The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming ... Read more

    $188.09 USD

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    A Concise Course in Statistical Inference

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    Series series Mathematics and Statistics (R0)
    Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics ... Read more

    $58.49 USD

  • Seamless R and C++ Integration with Rcpp

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    Series series Mathematics and Statistics (R0)
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  • Python for Probability, Statistics, and Machine Learning

    by José Unpingco ...
    Series series Engineering (R0)
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  • Monte Carlo Statistical Methods

    by Christian Robert, George Casella ...
    Series series Mathematics and Statistics (R0)
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  • Exploratory Data Analysis in Business and Economics

    An Introduction Using SPSS, Stata, and Excel

    by Thomas Cleff ...
    In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and ... Read more

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  • New Developments in Statistical Modeling, Inference and Application

    Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

    Edited by Zhezhen Jin, Mengling Liu, Xiaolong Luo ...
    Series series Springer Nature Proceedings excluding Computer Science
    The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking ... Read more

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  • Modeling and Stochastic Learning for Forecasting in High Dimensions

    Edited by Anestis Antoniadis, Jean-Michel Poggi, Xavier Brossat ...
    Series series Springer Nature Proceedings excluding Computer Science
    The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an ... Read more

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  • Matrix-Based Introduction to Multivariate Data Analysis

    by Kohei Adachi ...
    Series series Mathematics and Statistics (R0)
    This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest ... Read more

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