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Showing 1 - 12 of 12 results for “romain simon”
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  • Advanced Analytics and Learning on Temporal Data

    10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers

    Edited by Vincent Lemaire, Georgiana Ifrim, Anthony Bagnall, Simon Malinowski, Patrick Schäfer, Romain Tavenard ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the revised selected papers of the 10th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2025, held in Porto, Portugal, on September 19, 2025.The 13 full papers presented here were carefully reviewed and selected from 22 submissions. The papers focus on the following topics: Clustering and Analysis of Time Series; Forecasting and Prediction; ... Read more

    $49.99 USD

  • Passive and Active Measurement

    27th International Conference, PAM 2026, Virtual Event, March 23-25, 2026, Proceedings

    Edited by Simone Ferlin-Reiter, Romain Fontugne, Johanna Ullrich ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 27th International Conference on Passive and Active Measurement, PAM 2026, held as a virtual event during March 23-25, 2026.The 9 full papers and 9 short papers included in the book were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Routing; Topology; Applications and Congestion; DNS; Wireless ... Read more

    $98.99 USD

  • Advanced Analytics and Learning on Temporal Data

    9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers

    Edited by Vincent Lemaire, Georgiana Ifrim, Anthony Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024.The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, ... Read more

    $116.99 USD

  • Advanced Analytics and Learning on Temporal Data

    8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers

    Edited by Georgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire ...
    Series series Springer Nature Proceedings Computer Science
    This volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023.The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data ... Read more

    $76.99 USD

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  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    by John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... Read more

    $49.99 USD

  • Informed Machine Learning

    Edited by Daniel Schulz, Christian Bauckhage ...
    Series series Cognitive Technologies
    This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of physical informed neural networks. The book is ... Read more

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  • Data Mining Applications with R

    by Yonghua Cen, Yanchang Zhao ...
    Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. ... Read more

    $71.99 USD

  • Gmdh-methodology And Implementation In Matlab

    by Godfrey C Onwubolu ...
    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Read more

    $38.99 USD

  • Efficient Learning Machines

    Theories, Concepts, and Applications for Engineers and System Designers

    by Rahul Khanna, Mariette Awad ...
    Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural ... Read more

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  • Kernel Smoothing In Matlab: Theory And Practice Of Kernel Smoothing

    by Ivanka Horova, Jan Kolacek, Jiri Zelinka ...
    Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques. These methods are simple to understand and they possess very good statistical properties. This book provides a concise and comprehensive overview of statistical theory and in addition, emphasis is given to the implementation of presented methods in Matlab. All created programs are included in a ... Read more

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  • Statistical Data Analytics

    Foundations for Data Mining, Informatics, and Knowledge Discovery

    by Walter W. Piegorsch ...
    Statistical Data AnalyticsStatistical Data AnalyticsFoundations for Data Mining, Informatics, and Knowledge DiscoveryA comprehensive introduction to statistical methods for data mining and knowledge discoveryApplications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social ... Read more

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  • Handbook of Computational Statistics

    Concepts and Methods

    Edited by James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori ...
    Series series Mathematics and Statistics (R0)
    The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It ... Read more

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