Search Results - (((((((kant OR mantis) OR wantis) OR cases) OR cantor) OR anne) OR find) OR wanting) algorithms.

Algorithms for worst-case design and applications to risk management / by Rustem, Berc

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Finding the Forest in the Trees : the Challenge of Combining Diverse Environmental Data. by Staff, National Research Council

Table of Contents: “…""Finding the Forest in the Trees""; ""Copyright""; ""Preface""; ""Acknowledgments""; ""Contents""; ""Executive Summary""; ""SUMMARY OF CONCLUSIONS AND RECOMMENDATIONS""; ""Addressing Barriers Deriving from the Data""; ""Addressing Barriers Deriving from Users' Needs""; ""Addressing Barriers Deriving from Organizational Interactions""; ""Addressing Barriers Deriving from System Considerations""; ""TEN KEYS TO SUCCESS""; ""1 Introduction""; ""METHODOLOGY OF THE STUDY""; ""ORGANIZATION OF THE REPORT""; ""REFERENCES""; ""2 Impact Assessment Project for Drought Early Warning in the Sahel""…”
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Theory of randomized search heuristics : foundations and recent developments

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Incidental findings in neuroimaging and their management a guide for radiologists, neurosurgeons, and neurologists

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Algorithms in Bioinformatics : a Practical Introduction by Sung, Wing-Kin

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Convergence theorems for lattice group-valued measures. by Antonio Boccuto; Xenofon Dimitriou

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Algorithms for Dummies. by Mueller, John Paul

Table of Contents: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Getting Started with Algorithms -- Chapter 1 Introducing Algorithms -- Describing Algorithms -- The right way to make toast: Defining algorithm uses -- Finding algorithms everywhere -- Using Computers to Solve Problems -- Getting the most out of modern CPUs and GPUs -- Working with special-purpose chips -- Networks: Sharing is more than caring -- Leveraging available data…”
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The Human Algorithm by Solis, Brian

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Derivatives algorithms. Volume 1, Bones by Hyer, Tom

Table of Contents: “…Payouts. 10.9. Steps. 10.10. Use case review : PDE. 10.11. Use case review : Monte Carlo and hedge. 10.12. …”
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Probability and Algorithms. by Staff, National Research Council

Table of Contents: “…""PROBABILITY AND ALGORITHMS""; ""Copyright""; ""Preface""; ""Contents""; ""1. …”
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Algorithmic composition : a guide to composing music with Nyquist by Simoni, Mary Hope

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Algorithms of education : how datafication and artificial intelligence shape policy by Gulson, Kalervo N., Sellar, Sam, Webb, P. Taylor

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Nature-inspired optimization algorithms by Yang, Xin-She

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Multi-Objective Optimization in Theory and Practice II : metaheuristic algorithms. by Keller, André A.

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Finding Alphas : a Quantitative Approach to Building Trading Strategies. by Tulchinsky, Igor

Table of Contents: “…Data Inputs to an AlphaAlpha Universe; Alpha Prediction Frequency; Value of an Alpha; Practical Alpha Evaluation; Future Performance; Conclusion; 5 How to Develop an Alpha: A Case Study; Conclusion; 6 Data and Alpha Design; How we find Data for Alphas; Data Validation; Understand the Data Before Using it; Embrace the Big Data ERA; Conclusion; 7 Turnover; Alpha Horizon; The Cost of a Trade; The Crossing Effect; Controlling Turnover; Examples; Tuning the Turnover; 8 Alpha Correlation; Alpha PnL Correlation; Alpha Value Correlation; Correlation with Alpha Pool; Conclusion…”
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Swarm intelligence and bio-inspired computation : theory and applications

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Stabilisation and Motion Control of Unstable Objects by Formalʹskiĭ, A. M. (Aleksandr Moiseevich)

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The golden ticket : P, NP, and the search for the impossible by Fortnow, Lance, 1963-

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Algorithmic techniques for the polymer sciences by Tice, Bradley S.

Table of Contents: “…Front Cover; About the Editor; Preface; Contents; Introduction; Review of the Literature; Chapter 1: Polymers; Chapter 2: Compression of Data; Chapter 3: Natural Language Compression; Chapter 4: Formal Language Compression; Chapter 5: Types of Compression Programs; Chapter 6: Algorithmic Compression; Chapter 7: Chemical Formulas; Chapter 8: Fischer Projection; Chapter 9: Compression of Polymers; Chapter 10: Line Notation Systems and Compression; Chapter 11: Current Trends in Research; Chapter 12: Big Data; Chapter 13: Modeling Complexity in Molecular Systems: A Revised Edition.…”
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Mastering Machine Learning Algorithms : Expert techniques to implement popular machine learning algorithms and fine-tune your models. by Bonaccorso c/o Quandoo, Giuseppe

Table of Contents: “…Conditional probabilities and Bayes' theoremBayesian networks; Sampling from a Bayesian network; Direct sampling; Example of direct sampling; A gentle introduction to Markov chains; Gibbs sampling; Metropolis-Hastings sampling; Example of Metropolis-Hastings sampling; Sampling example using PyMC3; Hidden Markov Models (HMMs); Forward-backward algorithm; Forward phase; Backward phase; HMM parameter estimation; Example of HMM training with hmmlearn; Viterbi algorithm; Finding the most likely hidden state sequence with hmmlearn; Summary; Chapter 5: EM Algorithm and Applications.…”
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