Search Results - (((((((want OR when) OR mantic) OR arts) OR cantor) OR anne) OR wares) OR mantis) algorithms.

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    Security of self-organizing networks : MANET, WSN, WMN, VANET

    Published 2011
    Table of Contents: “…Other Online and Adaptive Algorithms --…”
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    Interactive displays : natural human interface technologies

    Published 2015
    Table of Contents: “…Current State of the Art /…”
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  6. 126
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    Introduction to imprecise probabilities

    Published 2014
    Table of Contents: “…When does the interpretation of independence (not) matter? …”
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  8. 128

    Basic data analysis for time series with R by Derryberry, DeWayne R.

    Published 2014
    Table of Contents: “…The Algorithm,…”
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    Handbook of performability engineering

    Published 2008
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  12. 132

    Open innovation : new product development essentials from the PDMA

    Published 2014
    Table of Contents: “…Pricing Algorithm --…”
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  13. 133

    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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  14. 134

    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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    Visual Data Mining : The VisMiner Approach. by Anderson, Russell K.

    Published 2012
    Table of Contents: “…Regression Analysis -- The Regression Model -- Correlation and Causation -- Algorithms for Regression Analysis -- Assessing Regression Model Performance -- Model Validity -- Looking Beyond R2 -- Polynomial Regression -- Artificial Neural Networks for Regression Analysis -- Dataset Preparation -- Tutorial -- A Regression Model for Home Appraisal -- Modeling with the Right Set of Observations -- Exercise 6.1 -- ANN Modeling -- The Advantage of ANN Regression -- Top-Down Attribute Selection -- Issues in Model Interpretation -- Model Validation -- Model Application -- Summary…”
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  17. 137

    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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  18. 138

    Literature and encyclopedism in Enlightenment Britain : the pursuit of complete knowledge by Rudy, Seth, 1978-

    Published 2014
    Table of Contents: “…Introduction: concepts of completeness -- Complete bodies, whole arts, and the limits of epic -- Worlds apart: epic and encyclopedia in the Augustan age -- Mid-century experiments in encyclopedism -- Collapse and reconstitution: epic and encyclopedia revisited -- Coda: the angel and the algorithm -- Appendix.…”
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  19. 139

    Function Estimates. by Marron, J. S.

    Published 1986
    Table of Contents: “…Contents -- Preface -- Logspline density estimation -- Statistical encounters with B-splines -- Estimation of a transfer function in a nongaussian context -- Evaluating the performance of an inversion algorithm -- Harmonic splines in geomagnetism -- Problems in estimating the anomalous gravity potential of the earth from discrete data -- What regression model should be chosen when the statistician misspecifies the error distribution? …”
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    F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

    Published 2016
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