Search Results - (((((((kant OR want) OR when) OR arts) OR cantor) OR anne) OR carter) OR wanting) algorithms.

F♯ for Machine Learning Essentials. by Mukherjee, Sudipta

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

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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Experiencing architecture in the nineteenth century : buildings and society in the modern age

Table of Contents: “…Chapter 3: Architecture of the mind: Imparting Californian identity through architectural experience on the early Stanford University campusThe art museum at the heart of the university; Memorial Church: Moulding the spirit through art; The partial destruction of the campus and its legacy in American design; Chapter 4: The architecture of art education: Provincial art schools in Britain, 1850-1914; Chapter 5: Rooms and galleries: Spaces of art in the nineteenth century; The experience of the museum; The experience of the private collection.…”
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Function Estimates. by Marron, J. S.

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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Quantum Computation and Information. by Lomonaco, Samuel J.

Table of Contents: “…Vintage Simon quantum hidden subgroup algorithms (QHSAs)Part 5. Vintage Shor Algorithms -- 11. …”
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Development of Modern Statistics and Related Topics : In Celebration of Prof Yaoting Zhang's 70th Birthday. by Zhang, Heping

Table of Contents: “…Estimation When Variances Are Known ; 4. Estimation when variances are Unknown ; 5. …”
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Differential and Differential-Algebraic Systems for the Chemical Engineer : Solving Numerical Problems. by Buzzi-Ferraris, Guido

Table of Contents: “…1.10 Adaptive Methods1.10.1 Method Derived from the Gauss-Kronrod Algorithm; 1.10.2 Method Derived from the Extended Trapezoid Algorithm; 1.10.3 Method Derived from the Gauss-Lobatto Algorithm; 1.11 Parallel Computations; 1.12 Classes for Definite Integrals; 1.13 Case Study: Optimal Adiabatic Bed Reactors for Sulfur Dioxide with Cold Shot Cooling; 2 Ordinary Differential Equations Systems; 2.1 Introduction; 2.2 Algorithm Accuracy; 2.3 Equation and System Conditioning; 2.4 Algorithm Stability; 2.5 Stiff Systems; 2.6 Multistep and Multivalue Algorithms for Stiff Systems.…”
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Intelligent Technologies : From Theory to Applications - The New Trends in Computational Intelligence. by Kvasnicka, V.

Table of Contents: “…Neural Networks; Superconvergence Concept in Machine Learning; Application of the Parallel Population Learning Algorithm to Training Feed-forward ANN; Markovian Architectural Bias of Recurrent Neural Networks; SOFM Training Speedup; Generalized Forecasting Sigma-Pi Neural Network; Human Centered Intelligent Robots Using "Ontological Neural Network"; Trajectory Bounds of Solutions of Delayed Cellular Neural Networks Differential Systems; From Plain to Modular Topology: Automatic Modularization of Structured ANNs.…”
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Artificial intelligence : approaches, tools, and applications

Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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Insect media : an archaeology of animals and technology by Parikka, Jussi, 1976-

Table of Contents: “…Introduction: insects in the age of technology -- Nineteenth-century insect technics the uncanny affects of insects -- Genesis of form: insect architecture and swarms -- Technics of nature and temporality: Uexküll's ethology -- Metamorphosis, intensity, and devouring space: elements for an insect game theory -- Intermezzo -- Animal ensembles, robotic affects: bees, milieus, and individuation -- Biomorphs and boids: swarming algorithms -- Sexual selection in the biodigital: teknolust and the weird life of SRAs -- Epilogue insect media as an art of transmutation.…”
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Creating wicked students : designing courses for a complex world by Hanstedt, Paul, 1965-

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Numerical linear algebra with applications : using MATLAB by Ford, William H.

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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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Python unlocked : become more fluent in Python--learn strategies and techniques for smart and high-performance Python programming by Tigeraniya, Arun

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Modeling and optimization of air traffic by Delahaye, Daniel

Table of Contents: “…pt. 1: Optimization and artificial evolution -- Optimization: State of the art -- Genetic algorithms and improvements -- A new concept for genetic algorithms based on order statistics -- pt. 2: Applications to air traffic control -- Air traffic control -- Contributions to airspace sectorization -- Contribution to traffic assignment -- Airspace congestion metrics -- Conclusion and future perspectives.…”
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Building Machine Learning Systems with Python. by Richert, Willi

Table of Contents: “…Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Python Machine Learning; Machine learning and Python -- the dream team; What the book will teach you (and what it will not); What to do when you are stuck; Getting started; Introduction to NumPy, SciPy, and Matplotlib; Installing Python; Chewing data efficiently with NumPy and intelligently with SciPy; Learning NumPy; Indexing; Handling non-existing values; Comparing runtime behaviors; Learning SciPy; Our first (tiny) machine learning application.…”
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Metaheuristic applications in structures and infrastructures

Table of Contents: “…Metaheuristic Algorithms in Modeling and Optimization -- A Review on Traditional and Modern Structural Optimization: Problems and Techniques -- Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review -- Evolution Strategies-Based Metaheuristics in Structural Design Optimization -- Multidisciplinary Design and Optimization Methods -- Cost Optimization of Column Layout Design of Reinforced Concrete Buildings -- Layout Design of Beam-Slab Floors by a Genetic Algorithm -- Optimum Design of Skeletal Structures via Big Bang-Big Crunch Algorithm -- Truss Weight Minimization Using Hybrid Harmony Search and Big Bang-Big Crunch Algorithms -- Graph Theory in Evolutionary Truss Design Optimization -- Element Exchange Method for Stochastic Topology Optimization -- Evolutionary Path-Dependent Damper Optimization for Variable Building Stiffness Distributions -- Application of Genetic Algorithms in Ground Motion Selection for Seismic Analysis -- Optimization of Tuned Mass Damper with Harmony Search -- Identification of Passive Devices for Vibration Control by Evolutionary Algorithms -- Structural Optimization for Frequency Constraints -- Optimum Performance-Based Seismic Design of Frames Using Metaheuristic Optimization Algorithms -- Expression Programming Techniques for Formulation of Structural Engineering Systems -- An Evolutionary Divide-and-Conquer Strategy for Structural Identification -- Swarm Intelligence for Large-Scale Optimization in Construction Management -- Network-Level Infrastructure Management Based on Metaheuristics -- Large-Scale Maintenance Optimization Problems for Civil Infrastructure Systems -- Metaheuristic Applications in Bridge Infrastructure Maintenance Scheduling Considering Stochastic Aspects of Deterioration.…”
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Machine Learning for Mobile : Practical Guide to Building Intelligent Mobile Applications Powered by Machine Learning. by Gopalakrishnan, Revathi

Table of Contents: “…Chapter 2: Supervised and Unsupervised Learning AlgorithmsIntroduction to supervised learning algorithms; Deep dive into supervised learning algorithms; Naive Bayes; Decision trees; Linear regression; Logistic regression; Support vector machines; Random forest; Introduction to unsupervised learning algorithms; Deep dive into unsupervised learning algorithms; Clustering algorithms; Clustering methods; Hierarchical agglomerative clustering methods; K-means clustering; Association rule learning algorithm; Summary; References; Chapter 3: Random Forest on iOS; Introduction to algorithms…”
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Biomedical image analysis recipes in MATLAB : for life scientists and engineers by Reyes-Aldasoro, Constantino Carlos

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Can markets compute equilibria? by Monroe, Hunter K.

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