Machine learning books

This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops...  Read More >>

This book constitutes the refereed proceedings of the 19th IFIP WG 5.1 International Conference, PLM 2022, Grenoble,...  Read More >>

Presents contemporary developments in the adoption of artificial intelligence in textual analysis of literary works...  Read More >>

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This book constitutes the refereed proceedings of the 21st International Workshop, IWDW 2022, held in Guilin, China,...  Read More >>

The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security...  Read More >>

This book contains revised and extended versions of selected papers from the 10th and 11th International Conference...  Read More >>

This book provides a comprehensive overview of core concepts and technological foundations for continuous engineering...  Read More >>

This book describes a novel machine-learning based approach to answer some traditional archaeological problems,...  Read More >>

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Presents a comprehensive overview on Graph Neural Networks (GNNs) for Natural Language Processing. The authors propose...  Read More >>

This open access handbook describes foundational issues, methodological approaches and examples on how to analyse...  Read More >>

AI is ready for business. Are you ready for AI? From financial modelling and product design to performance management...  Read More >>

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This open access handbook describes foundational issues, methodological approaches and examples on how to analyse...  Read More >>

FLINS, an acronym originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, was inaugurated by...  Read More >>

""A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage,...  Read More >>

The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus...  Read More >>

This book intends to report new optimal control results with critic intelligence for complex discrete-time systems,...  Read More >>

This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning...  Read More >>

Artificial intelligence is everywhere-powering news feeds, curating search results and invisibly steering our lives....  Read More >>

Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox to help you take a deep dive...  Read More >>

SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation,...  Read More >>

ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden...  Read More >>

This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on...  Read More >>