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Applied Genetic Programming and Machine Learning

evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for;

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Applied Genetic Programming and Machine Learning

evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

integration of several machine learning and deep learning techniques. These include convolutional neural networks, Groebner bases, relevance vector;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

integration of several machine learning and deep learning techniques. These include convolutional neural networks, Groebner bases, relevance vector;

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Implementations and Applications of Machine Learning

mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including;

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Implementations and Applications of Machine Learning

mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including;

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Evolutionary Learning

-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies;

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Artificial Intelligence XXXVI

; applications of evolutionary algorithms; machine learning for time series data; applications of machine learning; and knowledge acquisition.;

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Artificial Evolution

, Machine Learning and hybridization with other soft computing techniques.;

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques;

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving;

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Data-Driven Evolutionary Optimization

seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms;

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Metaheuristics in Machine Learning

in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections;

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Machine Learning in Industry

This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep;

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Optinformatics in Evolutionary Learning and Optimization

-driven techniques for feature engineering in automated machine learning, as well as evolutionary transfer reinforcement learning. Through reading;

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Optinformatics in Evolutionary Learning and Optimization

-driven techniques for feature engineering in automated machine learning, as well as evolutionary transfer reinforcement learning. Through reading;

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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn;

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Applications of Evolutionary Computation

, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine;

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Applications of Evolutionary Computation

: EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Applications of Evolutionary Computation

), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;

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Applications of Evolutionary Computation

), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;

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Evolutionary Synthesis of Pattern Recognition Systems

in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data;

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Intelligent Learning Systems

prediction, as opposed to a pure data modeling. The machine learning techniques have gained large popularity nowadays, since many companies apply;

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