Search Results - (((((((ant OR canton) OR span) OR mantis) OR cantor) OR anne) OR harter) OR anting) algorithms.

  1. 141

    Stochastic filtering with applications in finance by Bhar, Ramaprasad

    Published 2010
    Table of Contents: “…Economic convergence in a filtering framework. 3.3. Ex-ante equity risk premium. 3.4. Concluding remarks -- 4. …”
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  2. 142

    Complexity : a guided tour by Mitchell, Melanie (Computer scientist)

    Published 2009
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  3. 143

    Eat, cook, grow : mixing human-computer interactions with human-food interactions

    Published 2014
    Table of Contents: “…"You don't have to be a gardener to do urban agriculture": understanding opportunities for designing interactive technologies to support urban food production / William Odom -- Augmented agriculture, algorithms, aerospace, and alimentary architectures / Jordan Geiger -- The allure of provenance: tracing food through user-generated production information / Ann Light -- Beyond gardening: a new approach to HCI and urban agriculture / Tad Hirsch -- Hungry for data: metabolic interaction from farm to fork to phenotype / Marc Tuters and Denisa Kera -- Food futures: three provocations to challenge HCI interventions / Greg Hearn and David Lindsay Wright -- Bringing technology to the dining table / Charles Spence -- List of recipes.…”
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  4. 144

    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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  5. 145

    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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  6. 146

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

    Published 2010
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  7. 147
  8. 148

    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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  9. 149

    Trends in Functional Programming. by Nilsson, Henrik

    Published 2007
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  10. 150

    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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  11. 151

    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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  12. 152
  13. 153
  14. 154

    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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  15. 155
  16. 156

    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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  17. 157

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

    Published 2020
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  18. 158

    Biological computation by Lamm, Ehud

    Published 2011
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  19. 159

    Frontiers of Artificial Intelligence in Medical Imaging. by Razmjooy, Navid

    Published 2023
    Table of Contents: “…5.5 Electromagnetic field optimization algorithm -- 5.6 Developed electromagnetic field optimization algorithm -- 5.7 Simulation results -- 5.7.1 Image acquisition -- 5.7.2 Pre-processing stage -- 5.7.3 Processing stage -- 5.7.4 Classification -- 5.8 Final evaluation -- 5.9 Conclusions -- References -- Chapter 6 Evaluation of COVID-19 lesion from CT scan slices: a study using entropy-based thresholding and DRLS segmentation -- 6.1 Introduction -- 6.2 Context -- 6.3 Methodology -- 6.3.1 COVID-19 database -- 6.3.2 Image conversion and pre-processing -- 6.3.3 Image thresholding…”
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  20. 160