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1-12 sur 12 résultats pour « kim de roover »
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  • Supervised and Unsupervised Statistical Data Analysis

    Modifié par Antonio D'Ambrosio, Mark de Rooij, Kim De Roover, Carmela Iorio, Michele La Rocca ...
    Collections series Springer Nature Proceedings excluding Computer Science
    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 ... En savoir plus

    $256.19 CAD

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

    Algorithms, Worked Examples, and Case Studies

    par 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 ... En savoir plus

    $95.99 CAD

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    par Ilya Narsky, Frank C. Porter ...
    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... En savoir plus

    $140.99 CAD

  • Multi-Agent Reinforcement Learning

    Foundations and Modern Approaches

    par Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer ...
    The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, ... En savoir plus

    $74.39 CAD

  • Applied Reliability Engineering and Risk Analysis

    Probabilistic Models and Statistical Inference

    par Ilia B. Frenkel, Alex Karagrigoriou, Anatoly Lisnianski, Andre V. Kleyner ...
    Collections series Quality and Reliability Engineering Series
    This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris ... En savoir plus

    $199.99 CAD

  • Predictive Statistics

    Analysis and Inference beyond Models

    par Bertrand S. Clarke, Jennifer L. Clarke ...
    Collections Livre 46 - Cambridge Series in Statistical and Probabilistic Mathematics
    All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks before the predictive adequacy of a model is established. This book outlines a fully predictive approach to statistical problems based on studying ... En savoir plus

    $101.99 CAD

  • Statistical Data Analytics

    Foundations for Data Mining, Informatics, and Knowledge Discovery

    par 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 ... En savoir plus

    $127.99 CAD

  • Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx

    par Yogendra P Chaubey ...
    This volume consists of a series of research papers presented at the conference Statistics 2011 Canada: 5th Canadian Conference in Applied Statistics held together with the 20th conference of the Forum for Interdisciplinary Mathematics titled, “Interdisciplinary Mathematical & Statistical Techniques”. These papers cover a wide range of topics from applications of Mathematics and Statistics such as ... En savoir plus

    $56.99 CAD

  • Uncertainty Management in Simulation-Optimization of Complex Systems

    Algorithms and Applications

    Modifié par Gabriella Dellino, Carlo Meloni ...
    Collections series Business and Management (R0)
    This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization ... En savoir plus

    $115.99 CAD

  • Handbook of Mixture Analysis

    Modifié par Sylvia Fruhwirth-Schnatter, Gilles Celeux, Christian P. Robert ...
    Collections series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
    Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new ... En savoir plus

    $126.99 CAD

  • Machine Learning and Knowledge Discovery in Databases. Research Track

    European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I

    Modifié par Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, Jose A. Lozano ...
    Collections Livre 1 - Springer Nature Proceedings Computer Science
    The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic.The 210 full papers presented in these ... En savoir plus

    $128.09 CAD

  • Data Analysis, Machine Learning and Knowledge Discovery

    Modifié par Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning ...
    Collections series Springer Nature Proceedings excluding Computer Science
    Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of ... En savoir plus

    $115.29 CAD