Search Results - (((((((ant OR want) OR mantis) OR when) OR cantor) OR anne) OR shane) OR hints) algorithms.

  1. 121

    Metaheuristics for intelligent electrical networks by Héliodore, Frédéric, Nakib, Amir, Ismail, Boussaad, Ouchraa, Salma, Schmitt, Laurent

    Published 2017
    Table of Contents: “…2.2.1. Genetic algorithms2.2.2. Evolution strategies; 2.2.3. Coevolutionary algorithms; 2.2.4. …”
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  2. 122

    Integrated and collaborative product development environment : technologies and implementations by Li, W. D.

    Published 2006
    Table of Contents: “…Intelligent Optimisation of Process Planning; 5.1 Intelligent Optimisation Strategies for CAPP Systems; 5.2 Knowledge Representation of Process Plans; 5.2.1 Process plan representation; 5.2.2 Machining cost criteria for process plans; 5.2.3 Precedence constraints; 5.3 A Hybrid GA/SA-based Optimisation Method; 5.3.1 Overview of the algorithm; 5.3.2 Genetic algorithm -- phase 1; 5.3.3 Simulated annealing algorithm -- phase 2; 5.3.4 Constraint handling algorithm.…”
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  5. 125

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

    Published 2021
    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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  6. 126

    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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  7. 127
  8. 128

    Machine Learning for Mobile : Practical Guide to Building Intelligent Mobile Applications Powered by Machine Learning. by Gopalakrishnan, Revathi

    Published 2018
    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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  9. 129

    Can markets compute equilibria? by Monroe, Hunter K.

    Published 2009
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  10. 130

    Agent-based computing

    Published 2010
    Table of Contents: “…Analysis of Algorithm -- 2.1.1. Chain-Like Agent Structure -- 2.1.2. …”
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  14. 134

    Urodynamics : a quick pocket guide by Vignoli, Giancarlo

    Published 2016
    Table of Contents: “…The framework of basic science -- Key symptoms analysis and diagnostic algorithms -- Physical examination and laboratory evaluation -- Urodynamic testing: when and which -- Voiding diary and Pad testing -- Non-invasive urodynamics -- Conventional urodynamics-conventional urodynamics in pediatric age -- Electromyogtrahy -- Urethral profilometry -- Videourodynamics -- Ambulatory urodynamics -- Urodynamics of upper urinary tract.…”
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  15. 135

    Mount Sinai expert guides. Hepatology

    Published 2014
    Table of Contents: “…Cover; Title page; Copyright page; Contents; List of Contributors; Series Foreword; Preface; Abbreviation List; About the Companion Website; PART 1: Hepatology; CHAPTER 1: Approach to the Patient with Abnormal Liver Tests; Section 1: Background; Definition of disease; Disease classification; Etiology; Pathology/pathogenesis; Section 2: Prevention; Section 3: Diagnosis; Typical presentation; Clinical diagnosis; Laboratory diagnosis; Diagnostic algorithm; Potential pitfalls/common errors made regarding diagnosis of disease; Section 4: Treatment; When to hospitalize…”
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  16. 136

    Building Machine Learning Systems with Python. by Richert, Willi

    Published 2013
    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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  17. 137

    Future Farming. by Shukla, Praveen Kumar

    Published 2023
    Table of Contents: “…PROPOSED METHODOLOGY -- Pre-processing -- Leaf Image from Plants -- Segmentation Model Using Improved Canny Algorithm -- Steps of Improved Canny Algorithm -- Leaf Image Feature Selection Using Hybrid Black Widow Optimization Algorithm with Mayfly Optimization Algorithm (BWO-MA) -- Pseudo-Code of the Hybrid (BWO-MA) Algorithm -- Output: Objective Function's -RMSE -- Leaf Image Classification Using (BWO-MA) with ANN -- Hyper-Parameter Tuning With (BWO-MA) -- RESULT AND DISCUSSION -- Dataset Description -- Evaluation & Results -- CONCLUSION -- REFERENCES…”
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  18. 138

    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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  19. 139

    Rough fuzzy image analysis : foundations and methodologies

    Published 2010
    Table of Contents: “…1. Cantor, fuzzy, near, and rough sets in image analysis / James F. …”
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  20. 140

    Bayesian reliability

    Published 2008
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