Search Results - (((((((ken OR canton) OR span) OR wanting) OR cantor) OR anne) OR carter) OR wansing) algorithms.

  1. 141

    The Johns Hopkins guide to digital media

    Published 2014
    Table of Contents: “…Ross -- Virtual reality / Ken Hillis -- Virtuality / Michael Heim -- Walkthrough / Frederik De Grove and Jan Van Looy -- Web comics / Karin Kukkonen -- Wiki writing / Seth Perlow -- Windows / Jay David Bolter -- Word-image / Maria Engberg -- Worlds and maps / Bjarke Liboriussen -- Writing under constraint / Anastasia Salter.…”
    Book
  2. 142

    Handbook of industrial engineering equations, formulas, and calculations by Badiru, Adedeji Bodunde, 1952-

    Published 2011
    Table of Contents: “…Computational Foundations of Industrial Engineering ; Efficacy of Mathematical Modeling; Industrial Engineering and Computations; Definition and Applications; Orientation to STEM; IE Catchphrases; Span and Utility of IE; Heritage from Industrial Revolution; Historical Accounts; Chronology of Applications; Importance of Calculations Guide; Basic Queuing Equations; Queuing Birth-Death Processes; Laws of Motion of Queuing Birth and Death; Data Types for Computational Analysis; References; ; Basic Mathematical Calculations ; Quadratic Equation; Overall Mean; Chebyshev's Theorem; Permutations; Combinations; Probability Distribution; Probability; Distribution Function; Expected Value; Variance; Binomial Distribution; Poisson Distribution; Mean of a Binomial Distribution; Normal Distribution; Cumulative Distribution Function; Population Mean; Standard Error of the…”
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  3. 143

    Exploratory data analysis with MATLAB by Martinez, Wendy L., Martinez, Angel R., Solka, Jeffrey

    Published 2017
    Table of Contents: “…5.5.2 Probabilistic Latent Semantic Analysis5.6 Minimum Spanning Trees and Clustering; 5.6.1 Definitions; 5.6.2 Minimum Spanning Tree Clustering; 5.7 Evaluating the Clusters; 5.7.1 Rand Index; 5.7.2 Cophenetic Correlation; 5.7.3 Upper Tail Rule; 5.7.4 Silhouette Plot; 5.7.5 Gap Statistic; 5.7.6 Cluster Validity Indices; 5.8 Summary and Further Reading; Exercises; Chapter 6 Model-Based Clustering; 6.1 Overview of Model-Based Clustering; 6.2 Finite Mixtures; 6.2.1 Multivariate Finite Mixtures; 6.2.2 Component Models -- Constraining the Covariances; 6.3 Expectation-Maximization Algorithm.…”
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  4. 144

    Finite-Dimensional Linear Algebra. by Gockenbach, Mark S.

    Published 2010
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  5. 145

    Rediscovering mathematics : you do the math by Simonson, Shai

    Published 2011
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  6. 146
  7. 147

    Debates in the digital humanities 2016

    Published 2016
    Table of Contents: “…Father Busa Female Punch Card Operatives / Melissa Terras and Julianne Nyhan -- On the Origin of "Hack" and "Yack" / Bethany Nowviskie -- Reflections on a Movement: #transformDH, Growing Up / Moya Bailey, Anne Cong-Huyen, Alexis Lothian, and Amanda Phillips.…”
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  8. 148

    Trends in Functional Programming. by Nilsson, Henrik

    Published 2007
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  9. 149

    Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

    Published 2018
    Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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  10. 150

    Numerical Methods for Eigenvalue Problems. by Börm, Steffen

    Published 2012
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  11. 151

    Learning OpenCV 3 Application Development. by Datta, Samyak

    Published 2016
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  12. 152
  13. 153

    Dermatologic principles and practice in oncology : conditions of the skin, hair, and nails in cancer patients

    Published 2013
    Table of Contents: “…Borovicka, Jennifer R.S. Gordon, Ann Cameron Haley, Nicole E. Larson and Dennis P. …”
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  14. 154
  15. 155
  16. 156

    Principles of artificial neural networks by Graupe, Daniel

    Published 2013
    Table of Contents: “…Fundamentals of biological neural networks -- ch. 3. Basic principles of ANNs and their early structures. 3.1. Basic principles of ANN design. 3.2. …”
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  17. 157
  18. 158

    Introduction to Stochastic Processes with R. by Dobrow, Robert P.

    Published 2016
    Table of Contents: “…B.3 CONTINUOUS RANDOM VARIABLES -- B.4 COMMON PROBABILITY DISTRIBUTIONS -- B.5 LIMIT THEOREMS -- B.6 MOMENT-GENERATING FUNCTIONS -- APPENDIX C: SUMMARY OF COMMON PROBABILITY DISTRIBUTIONS -- APPENDIX D: MATRIX ALGEBRA REVIEW -- D.1 BASIC OPERATIONS -- D.2 LINEAR SYSTEM -- D.3 MATRIX MULTIPLICATION -- D.4 DIAGONAL, IDENTITY MATRIX, POLYNOMIALS -- D.5 TRANSPOSE -- D.6 INVERTIBILITY -- D.7 BLOCK MATRICES -- D.8 LINEAR INDEPENDENCE AND SPAN -- D.9 BASIS -- D.10 VECTOR LENGTH -- D.11 ORTHOGONALITY -- D.12 EIGENVALUE, EIGENVECTOR -- D.13 DIAGONALIZATION -- ANSWERS TO SELECTED ODD-NUMBERED EXERCISES…”
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  19. 159

    AI and human thought and emotion by Freed, Sam (Philosophy professor)

    Published 2020
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  20. 160

    OpenCV Android Programming By Example. by Muhammad, Amgad

    Published 2015
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