Search Results - empirical (algorithmics OR algorithmic)

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  1. 1

    Essays on algorithmic trading by Gsell, Markus

    Published 2014
    Table of Contents: “…; 4.4 What are algorithmic trading models after all?; 5 Conclusion; References; Paper 3: Assessing the impact of Algorithmic Trading on markets : A simulation approach ; 1 Introduction; 2 Related work; 2.1 Algorithmic Trading; 2.2 Simulation of financial markets; 3 The simulation model; 3.1 Behavior of Traders; 3.2 Parameterization; 4 Results obtained; 5 Conclusion and Outlook; References; Paper 4: The Behavior of Algorithmic Traders in Equity Markets -- Empirical Evidence from Xetra.…”
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  2. 2

    Computer search algorithms

    Published 2011
    Table of Contents: “…THE FREQUENCY PLANNING PROBLEM IN GSM NETWORKS Mathematical Description ; HEURISTIC SEARCHES INCLUDED IN OUR STUDY ; The Genetic Algorithm ; The Scatter Search Heuristic ; The Population Based Incremental Learning ; The Greedy Randomized Adaptive Search Procedure ; EXPERIMENTAL EVALUATION AND RESULTS ; Empirical Results ; CONCLUSION AND FUTURE WORK ; ACKNOWLEDGMENTS ; REFERENCES ; EMERGENCE AND ADVANCES OF QUANTUM SEARCH; BACKGROUND ; AN INTRODUCTION TO QUANTUM COMPUTATION ; Quantum Search Algorithm ; A Quantum Oracle ; Grover's Search Algorithm ; Optimality of Grover's Algorithm.…”
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  3. 3

    Efficient algorithms of time series processing and their applications

    Published 2009
    Table of Contents: “…EFFICIENT ALGORITHMS OFTIME SERIES PROCESSINGAND THEIR APPLICATIONS; CONTENTS; PREFACE; INTRA-ANNUAL BUNDLES OF CLIMATICPARAMETERS; ABSTRACT; INTRODUCTION; 1. …”
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  4. 4

    Stochastic Local Search : Foundations and Applications. by Hoos, Holger

    Published 2004
    Table of Contents: “…Generalised Local Search Machines; Chapter 4. Empirical Analysis of SLS Algorithms; Chapter 5. Search Space Structure and SLS Performance; Part II: Applications; Chapter 6. …”
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    Least Squares Support Vector Machines. by Suykens, Johan A. K.

    Published 2002
    Table of Contents: “…2.5.2 SVM for nonlinear function estimation 2.5.3 VC bound on generalization error ; 2.6 Modifications and extensions ; 2.6.1 Kernels ; 2.6.2 Extension to other convex cost functions ; 2.6.3 Algorithms ; 2.6.4 Parametric versus non-parametric approaches.…”
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    Evolutionary algorithms in theory and practice : evolution strategies, evolutionary programming, genetic algorithms by Bäck, Thomas, 1963-

    Published 1996
    Table of Contents: “…Specific Evolutionary Algorithms -- 3. Artificial Landscapes -- 4. An Empirical Comparison -- 5. …”
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    Engineering an Algorithm for Reducing Variation in Manufacturing Processes. by Steiner, Stefan H.

    Published 2004
    Table of Contents: “…Material on Enclosed CD-ROM; Figures and Tables; Acknowledgments; Preface; 1 Introduction; PART I Setting the Stage; 2 Describing Processes; 3 Seven Approaches to Variation Reduction; 4 An Algorithm for Reducing Variation; 5 Obtaining Process Knowledge Empirically; PART II Getting Started; 6 Defining a Focused Problem; 7 Checking the Measurement System; 8 Choosing a Working Variation Reduction Approach; PART III Finding a Dominant Cause of Variation; 9 Finding a Dominant Cause Using the Method of Elimination; 10 Investigations to Compare Two Families of Variation.…”
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    New directions in statistical signal processing : from systems to brain

    Published 2007
    Table of Contents: “…Empirical statistics and stochastic models for visual signals /…”
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    Linking BMP Systems Performance to Receiving Water Protection BMP PERFORMANCE ALGORITHMS. by Leisenring, Marc

    Published 2014
    Table of Contents: “…3.3.1 Empirical and Semi-Empirical Modeling Methods3.3.2 Lumped Unit Process-Based Modeling Methods; 3.4 Simulating Distributed BMPs; 3.4.1 Individual BMP Approach; 3.4.2 Watershed Integrated Approach; 3.4.3 Regionally Segmented, Unit BMP Approach; 3.4.4 Categorically Segmented, Unit BMP Approach; 3.4.5 Watershed Model Parameter Adjustment Approach; 3.4.6 Hydrograph Post-Processing Approach; Chapter 4.0: Recommended General BMP Algorithms; 4.1 Treatment Algorithms; 4.1.1 Pollutant Partitioning; 4.1.2 Particle Size Distribution; 4.1.3 Particle Settling; 4.1.4 Mass Fractions; 4.1.5 Clogging.…”
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  12. 12

    Quantitative trading : algorithms, analytics, data, models, optimization by Guo, Xin, 1969-, Lai, T. L., Shek, Howard, Wong, Samuel Po-Shing

    Published 2017
    Table of Contents: “…Cover; Half Title; Title Page; Copyright Page; Dedication; Contents; Preface; List of Figures; List of Tables; 1 Introduction; 1.1 Evolution of trading infrastructure; 1.2 Quantitative strategies and time-scales; 1.3 Statistical arbitrage and debates about EMH; 1.4 Quantitative funds, mutual funds, hedge funds; 1.5 Data, analytics, models, optimization, algorithms; 1.6 Interdisciplinary nature of the subject and how the book can be used; 1.7 Supplements and problems; 2 Statistical Models and Methods for Quantitative Trading; 2.1 Stylized facts on stock price data.…”
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    Empirical Evaluation Methods in Computer Vision. by Christensen, Henrik I.

    Published 2002
    Table of Contents: “…Foreword ; Chapter 1 Automated Performance Evaluation of Range Image Segmentation Algorithms ; 1.1. Introduction ; 1.2. Scoring the Segmented Regions ; 1.3. …”
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    Empirical model building : data, models, and reality by Thompson, James R. (James Robert), 1938-

    Published 2011
    Table of Contents: “…SIMDAT: A Smooth Resampling Algorithm; 6.3.1. The SIMDAT Algorithm; 6.3.2. An Empirical Justification of SIMDAT; 6.4. …”
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    Mixtures : estimation and applications

    Published 2011
    Table of Contents: “…The EM algorithm, variational approximations and expectation propagation for mixtures /…”
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    The cost of free shipping : Amazon in the global economy

    Published 2020
    Table of Contents: “…Worker and Community Organizing to Challenge Amazon's Algorithmic Threat /…”
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    Probabilistic and causal inference : the works of Judea Pearl

    Published 2022
    Table of Contents: “…The Solution for the Branching Factor of the Alpha-Beta Pruning Algorithm and its Optimality /…”
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