Search Results - (((((((ant OR canton) OR mantis) OR went) OR cantor) OR anne) OR slave) OR hints) algorithms.

  1. 81

    Analysis of biological data : a soft computing approach

    Published 2007
    Table of Contents: “…Feature selection for cancer classification using ant colony optimization and support vector machines / A. …”
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  2. 82

    Risk management technology in financial services : risk control, stress testing, models, and IT systems and structures by Chorafas, Dimitris N.

    Published 2007
    Table of Contents: “…-- Chapter 3 Complxity of risk control with derivatives -- Chapter 4 Intergrating risk management through an enterprise architecure -- Chapter 5 Case studies on big product problems that went unattended -- Part 2 Risk control methodology and advanced models -- Chapter 6 A methodology for risk management -- Chapter 7 The contribution of models to experimentation -- Chapter 8 Simulation -- Chapter 9 Using knowledge engineering for risk control -- Chapter 10 Optimization through genetic algorithms -- Chapter 11 Testing, backtesting, post-mortems and experimental methodology -- Part 3 Increasing the effectiveness of information systems support -- Chapter 12 Adding value to risk control through IT and organization -- Chapter 13 Technology for time management, high frequency financial data and high impact events -- Chapter 14 Project management for IT and risk control -- Chapter 15 Implementing design reviews -- Chapter 16 Quality, reliability and availability -- Chapter 17 Being in charge of IT costs -- Index.…”
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  3. 83

    DSP with Python Programming. by Charbit, Maurice

    Published 2017
    Table of Contents: “…Gaussian linear case: Kalman algorithm; 3.5. Discrete finite Markov case; 4 Monte-Carlo Methods; 4.1. …”
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  4. 84

    Focus on artificial neural networks

    Published 2011
    Table of Contents: “…ARTIFICIAL NEURAL NETWORKS (ANNS) -- 3. MICROEMULSIONS -- 4. APPLICATION OF ANNS IN THE DEVELOPMENT OF MICROEMULSION DRUG DELIVERY SYSTEMS -- 4.1. …”
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  5. 85

    Metaheuristics for vehicle routing problems. by Labadie, Nacima

    Published 2015
    Table of Contents: “…Memetic algorithm; 4.1.3. Memetic algorithm with population management; 4.1.4. …”
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  6. 86

    Industrial control systems

    Published 2011
    Table of Contents: “…EXTRACTIVE FERMENTATION PROCESS FOR BIOETHANOL PRODUCTION ; 3. PLANT MODEL BASED ON ANN ; 3.1. ANN Configurations.…”
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  7. 87

    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
  8. 88

    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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  9. 89
  10. 90

    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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  11. 91

    Applied Parallel Computing. by Deng, Yuefan

    Published 2012
    Table of Contents: “…Parallel Profilers; Chapter 5. Design of Algorithms; 5.1. Algorithm Models; 5.1.1. Master-slave; 5.1.2. …”
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  12. 92

    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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  13. 93

    Comorbidity in migraine

    Published 2011
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  14. 94
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  16. 96

    Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

    Published 2015
    Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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    Electronic Conference Proceeding eBook
  17. 97

    Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

    Published 2018
    Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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  18. 98

    Optimization advances in electric power systems

    Published 2008
    Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
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  19. 99

    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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  20. 100

    Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

    Published 2018
    Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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