Search Results - (((((((ante OR want) OR mantic) OR win) OR cantor) OR anne) OR shape) OR hints) algorithms.

  1. 161

    Regression Analysis with Python. by Massaron, Luca, Boschetti, Alberto

    Published 2016
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  2. 162

    Spatial Statistics and Digital Image Analysis.

    Published 1900
    Table of Contents: “…""Posterior Distribution""""Model Identification""; ""Attribute Estimation""; ""Algorithms""; ""2.4.2 Examples""; ""Image Restoration""; ""Boundary Detection""; ""Single Photon Emission Tomography""; ""Shape-From-Shading""; ""Deformable Templates""; ""Bibliography""; ""3 Oceanographic and Atmospheric Applications of Spatial Statistics and Digital Image Analysis""; ""3.1 INTRODUCTION""; ""3.2 SELECTED ANALYSIS AREAS""; ""3.2.1 Principal Component Analysis""; ""General Concepts""; ""Multispectral Data Application""; ""Multi-Temporal Data Application""…”
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  3. 163

    Mathematical Research in Materials Science : Opportunities and Perspectives. by Staff, National Research Council

    Published 1900
    Table of Contents: “…""STIFF POLYMERS AND LIQUID CRYSTALS""""OTHER PROBLEMS""; ""4 EVOLUTION OF MICROSTRUCTURES""; ""INTRODUCTION""; ""SPINODAL DECOMPOSITION AND NUCLEATION""; ""GRAIN GROWTH AND OTHER INTERFACE MOTION CONTROLLED BY INTERFACE KINETICS""; ""Computer Algorithms""; ""SHAPE EVOLUTION CONTROLLED BY SURFACE DIFFUSION""; ""MORPHOLOGICAL STABILITY""; ""Phase Transformations and Pattern Formation""; ""Dendritic Growth""; ""MUSHY ZONES""; ""PRECIPITATION AND COARSENING""; ""Evolution of Microstructures; Stress and Current Effects""; ""MARTENSITE AND SHAPE-MEMORY MATERIALS""; ""MAGNETIC MATERIALS""…”
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  4. 164

    Selected papers from the 11th international symposium on electromagnetics fields in electrical engineering ISEF 2003 by Wiak, S.

    Published 2004
    Table of Contents: “…Editorial advisory board; Abstracts; Editorial; Application of Haar's wavelets in the method of moments to solve electrostatic problems; A 3D multimodal FDTD algorithm for electromagnetic and acoustic propagation in curved waveguides and bent ducts of varying cross-section; The highly efficient three-phase small induction motors with stator cores made from amorphous iron; Optimal shape design of a high-voltage test arrangement; Cogging torque calculation considering magnetic anisotropy for permanent magnet synchronous motors; Magnetoelastic coupling and Rayleigh damping…”
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  5. 165

    Automata and Computability. by Kozen, Dexter, 1951-

    Published 1997
    Table of Contents: “…Miscellaneous Exercises Turing Machines and Effective ComputabilityHints for Selected Miscellaneous Exercises; Solutions to Selected Miscellaneous Exercises; References; Notation and Abbreviations; Index.…”
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  6. 166
  7. 167

    Analysis of biological data : a soft computing approach

    Published 2007
    Table of Contents: “…Reconstructing phylogenies with memetic algorithms and branch-and-bound / José E. Gallardo, Carlos Cotta and Antonio J. …”
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  8. 168
  9. 169

    New developments in lasers and electro-optics research

    Published 2007
    Table of Contents: “…Cho -- Shape detection by means of a laser line and approximation neural networks / J. …”
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  10. 170

    Digital workflows in architecture : designing design -- designing assembly -- designing industry

    Published 2012
    Table of Contents: “…DIGITAL CRAFTSMANSHIP: FROM THINKING TO MODELING TO BUILDINGWireframe Algorithms (Editor's Notes); ALGORITHMIC WORKFLOWS IN ASSOCIATIVE MODELING; Workflow Teams (Editor's Notes); WORKFLOW CONSULTANCY; THE SCENT OF THE SYSTEM; indeterminacy (Editor's Notes); DESIGNING INDUSTRY; WHAT DO WE MEAN BY BUILDING DESIGN?…”
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  11. 171

    Data Analytics Applied to the Mining Industry. by Soofastaei, Ali

    Published 2020
    Table of Contents: “…Advanced Data Analytics -- Introduction -- Big Data -- Analytics -- Deep Learning -- CNNs -- Deep Neural Network -- Recurrent Neural Network (RNN) -- ML -- Fuzzy Logic -- Classification Techniques -- Clustering -- Evolutionary Techniques -- Genetic Algorithms (GAs) -- Ant Colony Optimization (ACO)…”
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  12. 172

    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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  13. 173

    Vision Geometry. by Melter, Robert A.

    Published 1991
    Table of Contents: “…Star-Shapedness of Digitized Planar ShapesAlgorithms for the Decomposition of Convex Polygons -- Decomposition of Discrete Curves into Piecewise Straight Segments in Linear Time -- Digitization Schemes and the Recognition of Digital Straight Lines, Hyperplanes, and Flats in Arbitrary Dimensions -- Computational Geometry and Computer Vision -- Convexity, Visibility, and Orthogonal Polygons…”
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  14. 174

    Advanced Analytics with R and Tableau. by Stirrup, Jen

    Published 2016
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  15. 175

    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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  16. 176

    Introduction to graph theory by Voloshin, Vitaly I. (Vitaly Ivanovich), 1954-

    Published 2009
    Table of Contents: “…What Is Mathematical Induction; 7.2. Graph Theory Algorithms and Their Complexity; 7.3. Answers and Hints to Selected Exercises; 7.4. …”
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  17. 177
  18. 178

    Deep Learning Quick Reference : Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras. by Bernico, Michael

    Published 2018
    Table of Contents: “…Drawbacks to consider when using a neural network for regressionUsing deep neural networks for regression; How to plan a machine learning problem; Defining our example problem; Loading the dataset; Defining our cost function; Building an MLP in Keras; Input layer shape; Hidden layer shape; Output layer shape; Neural network architecture; Training the Keras model; Measuring the performance of our model; Building a deep neural network in Keras; Measuring the deep neural network performance; Tuning the model hyperparameters; Saving and loading a trained Keras model; Summary.…”
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  19. 179

    Comorbidity in migraine

    Published 2011
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  20. 180