Search Results - empirical ((((algorithms OR algorithmns) OR algorithms) OR algorithmen) OR algorithms)

  1. 101

    Social-behavioral modeling for complex systems

    Published 2019
    Table of Contents: “…Cover; Title Page; Copyright; Contents; Foreword; List of Contributors; About the Editors; About the Companion Website; Part I Introduction and Agenda; Chapter 1 Understanding and Improving the Human Condition: A Vision of the Future for Social-Behavioral Modeling; Challenges; Challenge One: The Complexity of Human Issues; Challenge Two: Fragmentation; Empirical Observation; Empirical Experiments; Generative Simulation; Unification; Challenge Three: Representations; Challenge Four: Applications of Social-Behavioral Modeling; About This Book; Roadmap for the Book; References…”
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  2. 102

    Applications of GRA and grey prediction models

    Published 2014
    Table of Contents: “…Cover; Editorial advisory board; Guest editorial; Property of derived grey verhulst model with multiple transformation; Multi-phase information aggregation and dynamic synthetic evaluation based on grey inspiriting control lines; Multi-terms MADM procedures with GRA and TOPSIS based on IFS and IVIFS; Development prediction of logistics industry in Henan province and its dynamic analysis; A grey STA-GERT quality evaluation model for complex products based on manufacture-service dual-network; Theoretical and empirical analysis of the supplier induced demand in health care marketin China.…”
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  3. 103

    Probability, Finance and Insurance : Proceedings of a Workshop. by Lai, T. L.

    Published 2004
    Table of Contents: “…Large and moderate deviations for self-normalized empirical processes; 7. Cramer type large deviations for independent random variables; 8. …”
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  4. 104

    The New Politics of Visibility : Spaces, Actors, Practices and Technologies in The Visible. by Brighenti, Andrea Mubi

    Published 2022
    Table of Contents: “…Three mediated visibility regimes and their differing regimes of recognition -- Broadcast visibility, representational recognition regime -- Networked visibility, enabling (mis)recognition regime -- Algorithmic visibility, paradoxical recognition regime -- Conclusion -- Notes -- References -- 5 The Democratization of Visibility Capital: Face in the Age of Its Automated Technical Reproducibility -- Asymmetry and recognition -- What is visibility capital? …”
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  5. 105
  6. 106

    Current development of mechanical engineering and energy : selected, peer reviewed papers from the 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering (...

    Published 2014
    Table of Contents: “…Simulation and Study on Ride Comfort of Articulated Dump Truck Based on Rigid-Flex CouplingThe Hall Automotive Wheel Speed Sensor and Simulation for its Signal Processing; Wind-Induced Vibration of the Rear-View Mirrors of Car at High Speed; Research on the Affection of Vehicle Lateral Stability Related to the Improved ABS; The Quantification Research of Engine Body Defect that Tested by Ultrasonic Phased Array; Analysis of Vehicle Interior Low-Frequency Noise Based on ATV; The Engine Oil Sump Radiated Noise Optimization Design; A Novel OFDM Radar Algorithm in Vehicular Environment…”
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  7. 107

    Principles of mathematical petrophysics by Doveton, John H., 1944-

    Published 2014
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  8. 108

    Two-degree-of-freedom control systems : the Youla Parameterization approach by Keviczky, László, Bányász, Csilla

    Published 2015
    Table of Contents: “…POLE PLACEMENT WITH FEEDBACK REGULATORPOLE PLACEMENT WITH CHARACTERISTIC POLYNOMIAL DESIGN; 3.1 CONTROL LOOPS WITH STATE FEEDBACK; 3.2 STATE FEEDBACK LINEAR QUADRATIC (LQ) REGULATORS; 3.3 GENERAL POLYNOMIAL METHOD FOR REGULATOR DESIGN; Chapter 4 -- Concept of the Best Achievable Control; DECOMPOSITION OF SENSITIVITY FUNCTION; DECOMPOSITION OF SENSITIVITY FUNCTION FOR YP REGULATORS; DIRECT OPTIMIZATION OF SENSITIVITY FUNCTION; SPECIAL METHODS; EMPIRICAL RELATIONSHIPS; 4.1 OPTIMIZATION OF DESIGN LOSS; 4.2 OPTIMIZATION OF REALIZABILITY LOSS; 4.3 OPTIMIZATION OF MODELING LOSS.…”
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  9. 109

    Extreme events : observations, modeling, and economics

    Published 2015
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  10. 110

    Handbook of modeling high-frequency data in finance

    Published 2012
    Table of Contents: “…Handbook of Modeling High-Frequency Data in Finance; Contents; Preface; Contributors; Part One Analysis of Empirical Data; 1 Estimation of NIG and VG Models for High Frequency Financial Data; 1.1 Introduction; 1.2 The Statistical Models; 1.3 Parametric Estimation Methods; 1.4 Finite-Sample Performance via Simulations; 1.5 Empirical Results; 1.6 Conclusion; References; 2 A Study of Persistence of Price Movement using High Frequency Financial Data; 2.1 Introduction; 2.2 Methodology; 2.3 Results; 2.4 Rare Events Distribution; 2.5 Conclusions; References…”
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  11. 111

    Stochastic filtering with applications in finance by Bhar, Ramaprasad

    Published 2010
    Table of Contents: “…Non-linear filter for futures price system. 6.4. Data used in empirical study. 6.5. Empirical results. 6.6. Concluding remarks -- 7. …”
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  12. 112

    Harry Markowitz : selected works by Markowitz, Harry M., 1927-2023

    Published 2008
    Table of Contents: “…Computation of mean-semivariance efficient sets by the critical line algorithm. Data mining corrections -- ch. 7. Harry Markowitz Company. …”
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  13. 113

    Nuclear Magnetic Resonance Spectroscopy Of Liquid Crystals.

    Published 2009
    Table of Contents: “…Spectral analysis using Evolutionary Algorithms -- 1. 7. Conclusions -- Acknowledgments -- References -- 2. …”
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  14. 114

    Inside the black box : a simple guide to quantitative and high frequency trading by Narang, Rishi K, 1974-

    Published 2013
    Table of Contents: “…Strategies Utilizing Price-Related DataStrategies Utilizing Fundamental Data; Data-Driven Alph a Models; Implementing the Strategies; Forecast Target; Time Horizon; Bet Structure; Investment Universe; Model Definition; Conditioning Variables; Run Frequency; An Explosion of Diversity; Blending Alpha Models; Summary; Notes; Chapter 4 Risk Models; Limiting the Amount of Risk; Limiting by Constraint or Penalty; Measuring the Amount of Risk; Where Limits Can Be Applied; Limiting the Types of Risk; Theory-Driven Risk Models; Empirical Risk Models; How Quants Choose a Risk Model; Summary; Notes.…”
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  15. 115
  16. 116

    Empathic space : the computation of human-centric architecture

    Published 2014
    Table of Contents: “…Cover; Title Page; Copyright Page; Contents; EDITORIAL; ABOUT THE GUEST-EDITORS; SPOTLIGHT: Visual highlights of the issue; INTRODUCTION: The Space of People in Computation; Theories of Designing Human-Centric Spaces; Developing the Code of Empirical Space; Space as Heuristic Generation; Interactions in the Field; Cognitive Conditions; The New Organic: Anthro-Spatial Planning Systems; Experiential Typologies of Spatial Archetypes; HEURISTIC GENERATION; Generative Design Methods and the Exploration of Worlds of Formal Possibility; Generative Systems for Automated Plan Layout.…”
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  17. 117

    Oil and gas exploration : methods and application

    Published 2017
    Table of Contents: “…Seismic Signal Denoising Using Empirical Mode Decomposition ; 3.1. Introduction; 3.2. …”
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  18. 118

    Data Protection and Privacy : the Internet of Bodies. by Leenes, Ronald

    Published 2018
    Table of Contents: “…Grinding Privacy in the Internet of Bodies: An Empirical Qualitative Research on Dating Mobile Applications for Men Who Have Sex with Men; 1. …”
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  19. 119
  20. 120

    Predictive Modeling of Pharmaceutical Unit Operations. by Pandey, Preetanshu

    Published 2016
    Table of Contents: “…Front Cover; Predictive Modeling of Pharmaceutical Unit Operations; Copyright Page; Contents; List of contributors; Predictive modeling of pharmaceutical unit operations; Preface; 1 Modeling of drug product manufacturing processes in the pharmaceutical industry; 1.1 Introduction; 1.2 Modeling techniques; 1.2.1 First principle predictive models; 1.2.1.1 Discrete element method; 1.2.1.2 Computational fluid dynamics; 1.2.1.3 Finite element method; 1.2.1.4 Hybrid models; 1.2.1.5 Empirical models; 1.3 Process modeling in drug product manufacturing; 1.3.1 Problem statement.…”
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