Search Results - (((((((want OR kkants) OR wants) OR makart) OR cantor) OR anne) OR shared) OR hints) algorithms.

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  1. 61

    Handbook of performability engineering

    Published 2008
    Table of Contents: “…Tampered Failure Rate Load-Sharing Systems: Status and Perspectives /…”
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  2. 62

    Market liquidity : theory, evidence, and policy by Foucault, Thierry

    Published 2013
    Table of Contents: “…Risk-sharing Effects…”
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  3. 63

    Modeling Reality : How Computers Mirror Life. by Białynicki-Birula, Iwo

    Published 2004
    Table of Contents: “…Contents; 1 From building blocks to computers: Models and modeling; 2 The game of life: A legendary cellular automaton; 3 Heads or tails: Probability of an event; 4 Galton's board: Probability and statistics; 5 Twenty questions: Probability and information; 6 Snowflakes: The evolution of dynamical systems; 7 The Lorenz butterfly: Deterministic chaos; 8 From Cantor to Mandelbrot: Self-similarity and fractals; 9 Typing monkeys: Statistical linguistics; 10 The bridges of Königsberg: Graph theory; 11 Prisoner's dilemma: Game theory; 12 Let the best man win: Genetic algorithms.…”
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  4. 64

    Media technologies : essays on communication, materiality, and society

    Published 2014
    Table of Contents: “…Bowker -- "What Do We Want?" "Materiality!" "When Do We Want It?" "Now!" …”
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  5. 65

    Open innovation : new product development essentials from the PDMA

    Published 2014
    Table of Contents: “…Pricing Algorithm --…”
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  6. 66

    F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

    Published 2016
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  7. 67
  8. 68

    Learning Boost C++ libraries : solve practical programming problems using powerful, portable, and expressive libraries from Boost by Mukherjee, Arindam

    Published 2015
    Table of Contents: “…Shared ownership semanticsboost::shared_ptr and std::shared_ptr; Intrusive smart pointers -- boost::intrusive_ptr; shared_array; Managing non-memory resources using smart pointers; Self-test questions; Summary; References; Chapter 4: Working with Strings; Text processing with Boost String Algorithms library; Using Boost String Algorithms; Find algorithms; Case-conversion and trimming algorithms; The replace and erase algorithms; The split and join algorithms; Splitting text using the Boost Tokenizer library; Tokenizing based on separators…”
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  9. 69

    Pattern discovery in biomolecular data : tools, techniques, and applications

    Published 1999
    Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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  10. 70

    Artificial neural systems : principle and practice by Lorrentz, Pierre

    Published 2015
    Table of Contents: “…INTRODUCTIONDENSITY BASED ALGORITHMS: CLUSTERING ALGORITHMS; NATURE-BASED ALGORITHMS; Evolutionary Algorithm and Programming ; Genetic Algorithm; GA Operators; APPLICATIONS OF GENETIC ALGORITHM; NETWORK METHOD: EDGES AND NODES; MULTI-LAYERED PERCEPTRON; REAL-TIME APPLICATIONS OF STATE-OF-THE-ART ANN SYSTEMS; DEFINITION OF ARTIFICIAL NEURAL NETWORKS (ANN); Intelligence; An Artificial Neural Network (ANN) system; PERFORMANCE MEASURES; Receiver's Operating Characteristics (ROC); Hypothesis Testing; Chi-squared (Goodness-of-fit) Test; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES…”
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  11. 71

    Ivor Horton's beginning Visual C++ 2012 by Horton, Ivor

    Published 2012
    Table of Contents: “…Algorithms --…”
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  12. 72
  13. 73

    Methods for Network Optimization and Parallel Derivative-free Optimization. by Olsson, Per-Magnus

    Published 2014
    Table of Contents: “…Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgements -- Thesis Introduction -- Contents -- Part I Contributions to Network Optimization -- 1 Introduction -- 2 Related Work -- 3 The Relay Positioning Problems -- 4 Environment Representation and Discretization -- 5 Relay Positioning Algorithms for Single Target Problems -- 6 Relay Positioning for Multiple Targets -- 7 Implementation and Experimental Results -- 8 Discussion -- Bibliography -- Part II Contributions to Derivative-free Optimization -- 9 Introduction -- 10 Setting And Problem Description -- 11 Direct Search Algorithms -- 12 Model Building Algorithms -- 13 Existing Model Building Algorithms -- 14 Radial Basis Functions -- 15 Parallelism in Algorithms for Derivative-Free Optimization -- 16 Information Sharing -- 17 Control of Optimization Algorithms -- 18 Implementation Details -- 19 Testing on Synthetic Test Cases -- 20 Testing On Industrial Test Cases -- 21 Future Work -- 22 Conclusions -- A Terms -- Bibliography.…”
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  14. 74
  15. 75

    Machine learning : a Bayesian and optimization perspective by Theodoridis, Sergios, 1951-

    Published 2015
    Table of Contents: “…Probability and stochastic processes -- Learning in parametric modeling: basic concepts and directions -- Mean-square error linear estimation -- Stochastic gradient descent: the LMS algorithm -- The least-squares family -- Classification: a tour of the classics -- Parameter learning: a convex analytic path -- Sparsity-aware learning: concepts and theoretical foundations -- Sparcity-aware learning: algorithms and applications -- Learning in reproducing Kernel Hilbert spaces -- Bayesian learning: inference and the EM alogrithm -- Bayesian learning: approximate inference and nonparametric models -- Monte Carlo methods -- Probabilistic graphical models: Part I -- Probabilistic graphical models: Part II -- Particle filtering -- Neural networks and deep learning -- Dimensionality reduction -- Appendix A LInear algebra -- Appendix B Probability theory and statistics -- Appendix C Hints on constrained optimization.…”
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  16. 76
  17. 77

    Scientific computing with multicore and accelerators

    Published 2010
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  18. 78

    Visible Business : Uncover the Blindspots and Engage the World's Female Economy. by Brideson, RJ

    Published 2017
    Table of Contents: “…Blind Spots; Contents; Foreword; About the Author; Acknowledgements; To my community; To my village; Preface; Introduction; Chapter 1 From history to herstory; The birth of business marketing; Things have changed -- or have they?; Women want more; The wo-man algorithm; Become conscious of the bias; From reject to results; Chapter 2 Are you blind?…”
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  19. 79

    Analytical modeling of wireless communication systems by Chiasserini, C. F. (Carla-Fabiani), Gribaudo, Marco, 1972-, Manini, Daniele

    Published 2016
    Table of Contents: “…Safety Message Broadcasting -- Modeling Information Sharing -- Cellular Networks. Multi-RAT Algorithms.…”
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  20. 80