Machine Learning

The book offers many ideas based on the artificial intelligence techniques, fueled by digital technologies that can be implemented in human lives t...

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge ...

In late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these deve...

Part of the IEEE series on Computational Intelligence, this book offers the first text to cover both single task and multiple task incremental lear...

Signal processing is ubiquitous in many fields of science and engineering. This textbook is tailored specifically for graduate students and present...

This book systematically elaborates on the intelligent information processing technology for a bioinspired polarization compass and inertial integr...

This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving in...

This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary researc...

This multi-volume LNCS set, LNCS 15148-15151, constitutes the refereed proceedings of the 18th International Conference on Parallel Problem Solving...

This multi-volume LNCS set, LNCS 15148-15151, constitutes the refereed proceedings of the 18th International Conference on Parallel Problem Solving...

This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear a...

This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boas...

Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine...

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian ...

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the e...

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge ...

This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in S...

This two-volume set LNCS 14788 and 14789 constitutes the refereed post-conference proceedings of the 15th International Conference on Advances in S...

This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of machine learning from ...

This book covers the latest advancements and applications of nonlinear dynamics in various fields of science and engineering, presenting a curated ...

This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all ba...

This book gives a complete introduction to cybersecurity and its many subdomains. Its unique by covering both technical and governance aspects of c...

Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman...

This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithm...

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The content addresses topics withi...

This book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to innovations...

Affective Computing for Social Good: Enhancing Well-being, Empathy, and Equity offers an insightful journey into the intricate realm of affective c...

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and G...

Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-s...

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for...

This book brings a thorough explanation on the path needed to use cloud computing technologies to run High-Performance Computing (HPC) applications...

This book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, of...

This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the ...