Springer Cham, 2023. — 201 p. — (Intelligent Systems Reference Library, Volume 243) — eBook ISBN: 978-3-031-35759-6. Contains contributions from several international authors to topics like AI, intelligent systems, and logic applications. Is dedicated to researcher Seiki Akama on his sixtieth birthday. Intends for researchers, undergraduate and graduate students, and lay...
Springer Cham, 2022. — 243 p. — (Intelligent Systems Reference Library, volume 223). — eBook ISBN: 978-3-031-07614-5. This book presents recent research in decision-making under uncertainty, in particular, reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes, and reinforcement learning have not been previously...
Springer International Publishing AG, 2018. — 324 p. — (Intelligent Systems Reference Library 136) — ISBN: 9783319679938 The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile...
Springer, 2017. — 548 p. — (Intelligent Systems Reference Library). — ISBN: 3319523066. This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modeling; Landscape Scene Modeling; and...
Springer, 2022. — 254 p. — (Intelligent Systems Reference Library 225). — ISBN: 978-981-19-4058-3. This book presents thoughts and pathways to build revolutionary Machine Learning (ML) models with the new paradigm of Machine Learning to adapt behaviorism. It focuses on two aspects – one focuses on architecting a choice process to lead users on a certain choice path while the...
Springer, 2018. — 390 p. — (Intelligent Systems Reference Library: Volume 130). — ISBN: 3319666541. This book proposes a consistent methodology for building intelligent systems. It puts forward several formal models for designing and implementing rules-based systems, and presents illustrative case studies of their applications. These include software engineering, business...
The 2nd Revised, Modified, and Enlarged Edition of Logics for Computer and Data Sciences, and Artificial Intelligence Springer, 2023. — 489 p. — (Intelligent Systems Reference Library 245). — ISBN: 978-3-031-42033-7. The book gives all interested in Computer Science, a deep review of relevant aspects of logic. In its scope are classical and non-classical logic. The content will...
Springer, 2022. — 810 p. — (Intelligent Systems Reference Library 217). — ISBN: 978-3-030-91390-8. This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention...
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