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Metaheuristics for Machine Learning, Eddaly


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Цена: 22359.00р.
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Автор: Eddaly
Название:  Metaheuristics for Machine Learning
ISBN: 9789811938870
Издательство: Springer
Классификация:


ISBN-10: 9811938873
Обложка/Формат: Hardback
Страницы: 223
Вес: 0.53 кг.
Дата издания: 14.03.2023
Серия: Computational Intelligence Methods and Applications
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 19 tables, color; 1 illustrations, black and white; xv, 223 p. 1 illus.; 19 tables, color; 1 illustrations, black and white; xv, 223 p. 1 illus.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: New advances and tools
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.
Дополнительное описание: 1. From metaheuristics to automatic programming.- 2. Biclustering Algorithms Based on Metaheuristics: A Review.- 3. A Metaheuristic Perspective on Learning Classifier Systems.- 4. An evolutionary clustering approach using metaheuristics and unsupervised m



Engineering Applications of Modern Metaheuristics

Автор: Taymaz Akan, Ahmed M. Anter, A. ?ima Etaner-Uyar,
Название: Engineering Applications of Modern Metaheuristics
ISBN: 3031168313 ISBN-13(EAN): 9783031168314
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select

Автор: Thampi Sabu M., Trajkovic Ljiljana, Li Kuan-Ching
Название: Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select
ISBN: 9811543003 ISBN-13(EAN): 9789811543005
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Нет в наличии.

Описание: This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions.

Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected

Автор: Thampi Sabu M., Piramuthu Selwyn, Li Kuan-Ching
Название: Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected
ISBN: 9811604185 ISBN-13(EAN): 9789811604188
Издательство: Springer
Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in Chennai, India, in October 2020. The 12 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 40 qualified submissions.

Advances in Metaheuristics for Hard Optimization

Автор: Patrick Siarry; Zbigniew Michalewicz
Название: Advances in Metaheuristics for Hard Optimization
ISBN: 3642092063 ISBN-13(EAN): 9783642092060
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Metaheuristics for Combinatorial Optimization

Автор: Greco Salvatore, Pavone Mario F., Talbi El-Ghazali
Название: Metaheuristics for Combinatorial Optimization
ISBN: 3030685195 ISBN-13(EAN): 9783030685195
Издательство: Springer
Цена: 25155.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This accessible guide will tell you everything you need to know about parenting a child with a hidden condition, such as autism, dyspraxia, ADHD or bipolar, whether or not a formal diagnosis has been received. With information on various conditions and diagnoses, it includes candid advice and strategies from parents as well as young adults who grew up with a hidden condition themselves.

Socio-Cultural Inspired Metaheuristics

Автор: Kulkarni Anand J., Singh Pramod Kumar, Satapathy Suresh Chandra
Название: Socio-Cultural Inspired Metaheuristics
ISBN: 9811365717 ISBN-13(EAN): 9789811365713
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions.

Hybrid Metaheuristics for Image Analysis

Автор: Bhattacharyya
Название: Hybrid Metaheuristics for Image Analysis
ISBN: 331977624X ISBN-13(EAN): 9783319776248
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

Current and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms.- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation.- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers.- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm.- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization.- Image Segmentation Using Metaheuristic-Based DeformableModels.- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection.- Image Thresholding Based on Fuzzy Particle Swarm Optimization.- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype.

Informatics and Machine Learning: From Martingales to Metaheuristics

Автор: Winters-Hilt Stephen
Название: Informatics and Machine Learning: From Martingales to Metaheuristics
ISBN: 1119716748 ISBN-13(EAN): 9781119716747
Издательство: Wiley
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Цена: 17099.00 р.
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Описание: Informatics and Machine Learning

Discover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digital data

Informatics and Machine Learning: From Martingales to Metaheuristics delivers an interdisciplinary presentation on how analyze any data captured in digital form. The book describes how readers can conduct analyses of text, general sequential data, experimental observations over time, stock market and econometric histories, or symbolic data, like genomes. It contains large amounts of sample code to demonstrate the concepts contained within and assist with various levels of project work.

The book offers a complete presentation of the mathematical underpinnings of a wide variety of forms of data analysis and provides extensive examples of programming implementations. It is based on two decades worth of the distinguished author's teaching and industry experience.

  • A thorough introduction to probabilistic reasoning and bioinformatics, including Python shell scripting to obtain data counts, frequencies, probabilities, and anomalous statistics, or use with Bayes' rule
  • An exploration of information entropy and statistical measures, including Shannon entropy, relative entropy, maximum entropy (maxent), and mutual information
  • A practical discussion of ad hoc, ab initio, and bootstrap signal acquisition methods, with examples from genome analytics and signal analytics

Perfect for undergraduate and graduate students in machine learning and data analytics programs, Informatics and Machine Learning: From Martingales to Metaheuristics will also earn a place in the libraries of mathematicians, engineers, computer scientists, and life scientists with an interest in those subjects.

Metaheuristics in Machine Learning: Theory and Applications

Автор: Oliva Diego, Houssein Essam H., Hinojosa Salvador
Название: Metaheuristics in Machine Learning: Theory and Applications
ISBN: 3030705412 ISBN-13(EAN): 9783030705411
Издательство: Springer
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning.

Machine Learning and Metaheuristics: Methods and Analysis

Автор: Dulhare
Название: Machine Learning and Metaheuristics: Methods and Analysis
ISBN: 9819966442 ISBN-13(EAN): 9789819966448
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.

Metaheuristics and Nature Inspired Computing: 8th International Conference, META 2021, Marrakech, Morocco, October 27-30, 2021, Proceedings

Автор: Dorronsoro Bernabй, Yalaoui Farouk, Talbi El-Ghazali
Название: Metaheuristics and Nature Inspired Computing: 8th International Conference, META 2021, Marrakech, Morocco, October 27-30, 2021, Proceedings
ISBN: 3030942155 ISBN-13(EAN): 9783030942151
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume constitutes selected papers presented during the 8th International Conference on Metaheuristics and Nature Inspired Computing, META 2021, held in Marrakech, Morocco, in October 201. Due to the COVID-19 pandemic the conference was partiqally held online. The 16 papers were thoroughly reviewed and selected from the 53 submissions. They are organized in the topical sections on combinatorial optimization; continuous optimization; optimization and machine learning; applications.

Metaheuristics for Production Scheduling

Автор: Jarboui
Название: Metaheuristics for Production Scheduling
ISBN: 1848214979 ISBN-13(EAN): 9781848214972
Издательство: Wiley
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Цена: 29296.00 р.
Наличие на складе: Поставка под заказ.


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