Computational Intelligence And Feature Selection
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Computational Intelligence And Feature Selection
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Author : Richard Jensen
language : en
Publisher: John Wiley & Sons
Release Date : 2008-10-03
Computational Intelligence And Feature Selection written by Richard Jensen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-03 with Computers categories.
The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Building on this foundation, the book provides: A critical review of FS methods, with particular emphasis on their current limitations Program files implementing major algorithms, together with the necessary instructions and datasets, available on a related Web site Coverage of the background and fundamental ideas behind FS A systematic presentation of the leading methods reviewed in a consistent algorithmic framework Real-world applications with worked examples that illustrate the power and efficacy of the FS approaches covered An investigation of the associated areas of FS, including rule induction and clustering methods using hybridizations of fuzzy and rough set theories Computational Intelligence and Feature Selection is an ideal resource for advanced undergraduates, postgraduates, researchers, and professional engineers. However, its straightforward presentation of the underlying concepts makes the book meaningful to specialists and nonspecialists alike.
Computational Intelligence For High Dimensional Machine Learning
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Author : Yu Zhou
language : en
Publisher: Springer Nature
Release Date : 2025-03-26
Computational Intelligence For High Dimensional Machine Learning written by Yu Zhou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
This book focuses on the modelling and optimization aspects of the feature selection problem through computational intelligence methods in complex, high-dimensional supervised machine learning. To aid readers in conducting research in this field, it covers fundamental concepts and state-of-the-art algorithms. This book also provides a detailed insight into applying these algorithms into real-world applications. The authors begin by introducing the definition high-dimensional machine learning (ML) problems and the challenges they pose. Subsequently, they delve into dimension reduction methods for high-dimensional ML, including global and local feature selection (FS) techniques. This book also comprehensively presents computational intelligence methods such as evolutionary computation and deep neural networks for FS, supported by both theoretical and empirical evidence. Furthermore, this book explores real-world scenario applications involving high-dimensional ML, particularly in the context of smart cities, bioinformatics and industrial informatics. This book is a suitable read for postgraduates and researchers who are interested in the research areas of computational intelligence, soft computing, machine learning and deep learning. Professionals and practitioners within these related fields will also benefit from this book.
Computational Intelligence And Feature Selection
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Author : Richard Jensen
language : en
Publisher: Wiley-IEEE Press
Release Date : 2008-09-29
Computational Intelligence And Feature Selection written by Richard Jensen and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-29 with Computers categories.
'Computational Intelligence and Feature Selection' provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, including their hybridizations.
Computational Intelligence For Machine Learning And Healthcare Informatics
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Author : Rajshree Srivastava
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-06-22
Computational Intelligence For Machine Learning And Healthcare Informatics written by Rajshree Srivastava and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-22 with Computers categories.
This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.
Advances In Iot And Security With Computational Intelligence
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Author : Anurag Mishra
language : en
Publisher: Springer Nature
Release Date : 2023-09-22
Advances In Iot And Security With Computational Intelligence written by Anurag Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-22 with Technology & Engineering categories.
The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.
Advances In Selected Artificial Intelligence Areas
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Author : Maria Virvou
language : en
Publisher: Springer Nature
Release Date : 2022-02-27
Advances In Selected Artificial Intelligence Areas written by Maria Virvou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-27 with Technology & Engineering categories.
As new technological challenges are perpetually arising, Artificial Intelligence research interests are focusing on the incorporation of improvement abilities into machines in an effort to make them more efficient and more useful. Recent reports indicate that the demand for scientists with Artificial Intelligence skills significantly exceeds the market availability and that this shortage will intensify further in the years to come. A potential solution includes attracting more women into the field, as women currently make up only 26 percent of Artificial Intelligence positions in the workforce. The present book serves a dual purpose: On one hand, it sheds light on the very significant research led by women in areas of Artificial Intelligence, in hopes of inspiring other women to follow studies in the area and get involved in related research. On the other hand, it highlights the state-of-the-art and current research in selected Artificial Intelligence areas and applications. The book consists of an editorial note and an additional thirteen (13) chapters, all authored by invited women-researchers who work on various Artificial Intelligence areas and stand out for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Paradigms, (ii) Advances in Artificial Intelligence Applications, and (iii) Recent Trends in Artificial Intelligence Areas and Applications. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the Artificial Intelligence areas of interest to them.
Feature Selection For High Dimensional Data
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Author : Verónica Bolón-Canedo
language : en
Publisher: Springer
Release Date : 2015-10-05
Feature Selection For High Dimensional Data written by Verónica Bolón-Canedo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Computers categories.
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
Agents And Artificial Intelligence
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Author : Ana Paula Rocha
language : en
Publisher: Springer Nature
Release Date : 2021-03-13
Agents And Artificial Intelligence written by Ana Paula Rocha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-13 with Computers categories.
This book contains the revised and extended versions of selected papers from the 12th International Conference on Agents and Artificial Intelligence, ICAART 2020, held in Valletta, Malta, in February 2020. Overall, 45 full papers, 74 short papers, and 56 poster papers were carefully reviewed and selected from 276 initial submissions. 23 of the 45 full papers were selected to be included in this volume. These papers deal with topics such as agents and artificial intelligence.
Artificial Intelligence For Human Fertility Trends Insights And Predictions
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Author : K. C. Santosh
language : en
Publisher: Springer Nature
Release Date : 2025
Artificial Intelligence For Human Fertility Trends Insights And Predictions written by K. C. Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Artificial intelligence categories.
Zusammenfassung: This book studies reasons behind the dramatic decline in total fertility rate (TFR), which has dropped to half of its previous levels. A major factor contributing to this trend is the widespread lack of recognition of fertility issues as a medical concern, compounded by insufficient societal awareness. To better understand the dynamics of human reproduction, this book identifies various factors that influence fertility, including the male and female reproductive systems, lifestyle choices, career demands, societal pressures, environmental factors, and personal habits (e.g., millennials). Central to this understanding is the collection of vast amounts of data, for which AI algorithms play a crucial role. The book studies how AI can help predict fertility outcomes by analyzing diverse datasets for both male and female populations. It also discusses the growing reliance on assisted reproductive technologies, despite their high costs and inconsistent success rates, and how AI can assist in predicting these success rates to ease the financial burden on patients. The primary goal of this book is to highlight how (explainable) AI can become a powerful tool in predicting human fertility. Ultimately, it aims at raising the global TFR and addressing the challenges posed by declining fertility rates around the world
Applications And Science Of Computational Intelligence Iv
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Author : Kevin L. Priddy
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 2001
Applications And Science Of Computational Intelligence Iv written by Kevin L. Priddy and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.