Fusion of Machine Learning Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Machine Learning Paradigms write by Ioannis K. Hatzilygeroudis. This book was released on 2023-02-06. Fusion of Machine Learning Paradigms available in PDF, EPUB and Kindle. This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms. This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems. It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.
Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing
Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing write by Arun Kumar Rana. This book was released on 2024-11-22. Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing available in PDF, EPUB and Kindle. This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and evolutionary computing techniques can be used to design, implement, and optimize advanced image processing, data analysis, and cyber security engineering solutions. It will readers develop the insight required to use the tools of digital imaging to solve new problems. The book is divided into sections that deal with Artificial intelligence and machine learning in medicine and healthcare Intelligent decision-making and analysis technology Machine learning and deep learning for agriculture Artificial intelligence and machine learning for security solutions Automation in image processing Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security offers a selection of chapters on the application of artificial intelligence and machine learning for advanced image processing, data analysis, and cyber security. This book will surely enhance the knowledge of readers interested in these areas.
From Unimodal to Multimodal Machine Learning
From Unimodal to Multimodal Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook From Unimodal to Multimodal Machine Learning write by Blaž Škrlj. This book was released on . From Unimodal to Multimodal Machine Learning available in PDF, EPUB and Kindle.
Machine Learning Paradigms
Machine Learning Paradigms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Paradigms write by George A. Tsihrintzis. This book was released on 2020-07-23. Machine Learning Paradigms available in PDF, EPUB and Kindle. At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-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 deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.
Emerging Paradigms in Machine Learning
Emerging Paradigms in Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Emerging Paradigms in Machine Learning write by Sheela Ramanna. This book was released on 2012-07-31. Emerging Paradigms in Machine Learning available in PDF, EPUB and Kindle. This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.
