Search Results - "algorithm"
Suggested Topics within your search.
Suggested Topics within your search.
- Data processing 250
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321
ReCombinatorics : the algorithmics of ancestral recombination graphs and explicit phylogenetic networks /
Published 2014Full text (MFA users only)
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Heuristics in analytics : a practical perspective of what influences our analytical world
Published 2014Table of Contents: “…Chapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; Summary.…”
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Intelligence emerging : adaptivity and search in evolving neural systems
Published 2015Table of Contents: “…Evolutionary algorithms --…”
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Robust range image registration : using genetic algorithms and the surface interpenetration measure /
Published 2005Table of Contents: “…Introduction -- Range Image Registration -- Surface Interpenetration Measure (SIM) -- Range Image Registration using Genetic Algorithms -- Robust Range Registration by Combining GAs and the SIM -- Multiview Range Image Registration -- Closing Comments.…”
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Self-regularity : a new paradigm for primal-dual interior-point algorithms /
Published 2002Table of Contents: “…Self-Regular Functions and Their Properties; Chapter 3. Primal-Dual Algorithms for Linear Optimization Based on Self-Regular Proximities; Chapter 4. …”
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High-frequency trading : a practical guide to algorithmic strategies and trading systems /
Published 2010Table of Contents: “…High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems; Contents; Acknowledgments; Chapter 1: Introduction; Chapter 2: Evolution of High-Frequency Trading; Chapter 3: Overview of the Business of High-Frequency Trading; Chapter 4: Financial Markets Suitable for High-Frequency Trading; Chapter 5: Evaluating Performance of High-Frequency Strategies; Chapter 6: Orders, Traders, and Their Applicability to High-Frequency Trading; Chapter 7: Market Inefficiency and Profit Opportunities at Different Frequencies.…”
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High-frequency trading : a practical guide to algorithmic strategies and trading systems /
Published 2013Full text (MFA users only)
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Spatial Evolutionary Modeling.
Published 2001Table of Contents: “…Foreword; Contents; Contributors; Part I: Evolutionary Algorithms: An Introduction; 1 Concepts of Evolutionary Modeling and Evolutionary Algorithms; Part II: Spatial Evolutionary Modeling: Algorithms and Models; 2 Modeling Spatial Phenomena; Part III: Spatial Evolutionary Algorithms: Applications; 3 Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning; 4 A Genetic Algorithm to Design Optimal Patch Configurations Using Raster Data Structures; 5 Designing Genetic Algorithms to Solve GIS Problems; 6 Evolutionary Modeling of Routes: The Case of Road Design.…”
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Making Surveillance Public : Why You Should Be More Woke about AI and Algorithms.
Published 2024Full text (MFA users only)
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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x /
Published 2017Full text (MFA users only)
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Machine Learning and Big Data with KDB+/Q : Q, High Frequency Financial Data and Algorithmic Trading.
Published 2019Full text (MFA users only)
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Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python /
Published 2016Table of Contents: “…Cover ; Copyright; Credits; Foreword; About the Author; Acknowledgments; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Predictive Modelling ; Introducing predictive modelling; Scope of predictive modelling; Ensemble of statistical algorithms; Statistical tools; Historical data; Mathematical function; Business context; Knowledge matrix for predictive modelling; Task matrix for predictive modelling; Applications and examples of predictive modelling; LinkedIn's ""People also viewed"" feature; What it does?…”
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Variational methods : open problems, recent progress, and numerical algorithms, June 5-8, 2002, Northern Arizona University, Flagstaff, Arizona /
Published 2004Table of Contents: “…Convergence analysis of an optimal scaling algorithm for semilinear elliptic boundary value problems /…”
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