Search Results - (((((((want OR canton) OR span) OR wants) OR cantor) OR anne) OR carter) OR anting) algorithms.

  1. 121

    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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  2. 122

    Mastering Scala machine learning by Kozlov, Alexander

    Published 2016
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    Electronic eBook
  3. 123

    Numerical Methods for Eigenvalue Problems. by Börm, Steffen

    Published 2012
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  4. 124
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    Comorbidity in migraine

    Published 2011
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  6. 126
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    Principles of data integration by Doan, AnHai

    Published 2012
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  9. 129

    Modern optimization methods for science, engineering and technology

    Published 2020
    Table of Contents: “…Implementing the traveling salesman problem using a modified ant colony optimization algorithm -- 5.1. ACO and candidate list -- 5.2. …”
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  10. 130
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    Parallel computing : technology trends

    Published 2020
    Table of Contents: “…Feedback-Driven Performance and Precision Tuning for Automatic Fixed Point Exploitation -- Parallel Programming -- A GPU-CUDA Framework for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem -- Parallelization Strategies for GPU-Based Ant Colony Optimization Applied to TSP -- DBCSR: A Blocked Sparse Tensor Algebra Library -- Acceleration of Hydro Poro-Elastic Damage Simulation in a Shared-Memory Environment -- BERTHA and PyBERTHA: State of the Art for Full Four-Component Dirac-Kohn-Sham Calculations -- Prediction-Based Partitions Evaluation Algorithm for Resource Allocation…”
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    Electronic Conference Proceeding eBook
  12. 132
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    Building Machine Learning Systems with Python. by Richert, Willi

    Published 2013
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    Anaphora Resolution. by Mitkov, Ruslan

    Published 2014
    Table of Contents: “…4.1 Early work in anaphora resolution4.2 Student; 4.3 Shrdlu; 4.4 Lunar; 4.5 Hobbs's naïve approach; 4.5.1 The algorithm; 4.5.2 Evaluation of Hobbs' s algorithm; 4.6 The BFP algorithm; 4.7 Carter's shallow processing approach; 4.8 Rich and LuperFoy's distributed architecture; 4.9 Carbonell and Brown's multi-strategy approach; 4.10 Other work; 4.11 Summary; Chapter Five: The present: knowledge-poor and corpus-based approaches in the 1990s and beyond; 5.1 Main trends in recent anaphora resolution research; 5.2 Collocation patterns-based approach; 5.3 Lappin and Leass's algorithm; 5.3.1 Overview.…”
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  17. 137

    Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age. by Lee, John

    Published 2018
    Table of Contents: “…Out with the Old, in with the NewThe AI Revolution; Think Laterally; Who Wants to Live Forever?; Who's the Expert Now?; Which Future?…”
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  18. 138

    Java programming interviews exposed by Markham, Noel

    Published 2014
    Table of Contents: “…Chapter 18: Useful LibrariesRemoving Boilerplate Code with Apache Commons; Developing with Guava Collections; Using Joda Time; Summary; Chapter 19: Developing with Build Tools; Building Applications with Maven; Ant; Summary; Chapter 20: Android; Basics; User Interface; Persistence; Android Hardware; Summary; Appendix: Introducing Scala; Scala Basics; Functions as Values; Immutability; Summary; Index.…”
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    Optical networks and components : fundamentals and advances. Volume II, Advances in optical networks and components by Sahu, Partha Pratim (Writer on optical networks)

    Published 2020
    Table of Contents: “…3.2.4 Analysis of ILP -- 3.3 Routing -- 3.3.1 Routing Algorithms -- 3.3.1.1 Dijkstra's Algorithm -- 3.3.1.2 Bellman-Ford Algorithm -- 3.3.2 Routing Approaches -- 3.3.2.1 Fixed Routing -- 3.3.2.2 Fixed-Alternate Routing -- 3.3.2.3 Flooding -- 3.3.2.4 Adaptive Routing -- 3.3.2.5 Fault-Tolerant Routing -- 3.3.2.6 Randomized Routing -- 3.4 WA Subproblem (Heuristics) -- 3.4.1 Wavelength Search Algorithm -- 3.4.1.1 Exhaustive Search -- 3.4.1.2 Tabu Search -- 3.4.1.3 Simulated Annealing -- 3.4.1.4 Genetic Algorithms -- 3.4.2 WA Heuristics -- 3.4.2.1 Random WA (R) -- 3.4.2.2 First-Fit (FF) Approach…”
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