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  • Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling

    Series Libro 26 - Adaptation, Learning, and Optimization
    This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of ... Leer más

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  • Advances in Financial Machine Learning

    Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and ... Leer más

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  • Multi-criteria Decision Analysis

    Methods and Software

    This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of methods and software is also featured to enable readers to choose the most appropriate method needed in their research.Worked examples as well as the software featured in the book are available on an accompanying website. ... Leer más

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  • Artificial Intelligence in Financial Markets

    Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics

    Series series Economics and Finance (R0)
    As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in ... Leer más

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  • Data Science for Economics and Finance

    Methodologies and Applications

    Series series Computer Science (R0)
    This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in ... Leer más

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  • Algorithmic Game Theory

    In recent years game theory has had a substantial impact on computer science, especially on Internet- and e-commerce-related issues. Algorithmic Game Theory, first published in 2007, develops the central ideas and results of this exciting area in a clear and succinct manner. More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art ... Leer más

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  • Machine Learning for Factor Investing: R Version

    Series series Chapman and Hall/CRC Financial Mathematics Series
    Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine ... Leer más

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  • Uncertainty Management in Simulation-Optimization of Complex Systems

    Algorithms and Applications

    Edición de Gabriella Dellino, Carlo Meloni ...
    Series 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 ... Leer más

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  • Management Science, Operations Research and Project Management

    Modelling, Evaluation, Scheduling, Monitoring

    Due to its societal and economic relevance, Project Management (PM) has become an important discipline and a concept critical to modern organizations, public and private. PM as an academic discipline is discussed both in Management Science and in Operations Research. Management Science tends to focus on quantitative tools and the soft skills necessary to manage projects successfully. Operations ... Leer más

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  • Decision Sciences

    Theory and Practice

    This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to ... Leer más

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  • The Essentials of Machine Learning in Finance and Accounting

    Series series Routledge Advanced Texts in Economics and Finance
    This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial ... Leer más

    Antes $62,482 CLP Ahora $55,869 CLP

  • Uncertainty Modeling In Knowledge Engineering And Decision Making - Proceedings Of The 10th International Flins Conference

    Series Libro 7 - World Scientific Proceedings Series On Computer Engineering And Information Science
    FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. ... Leer más

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