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This book is the first comprehensive popular science account of AI and RI. It discusses the interdisciplinary science of AI, RI, smartphones, smart sensors,... Læs mere
Bemærk: Kan ikke leveres før jul.
The art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural... Læs mere
Bemærk: Kan ikke leveres før jul.
This book provides a holistic overview of all aspects of federated AI, which allows creation of real-world applications in contexts where data is dispersed in many different locations.
Bemærk: Kan ikke leveres før jul.
Authored by experts from a variety of backgrounds, sectors, disciplines and countries, this engaging book offers a... Læs mere
Bemærk: Kan leveres før jul.
The book provides a gentle introduction to Universal Artificial Intelligence (UAI), a theory that provides a formal underpinning of what it means for an agent to act intelligently in a general class of environments.
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Transfer Learning through Embedding Spaces provides a brief background on transfer learning and then focus on the idea of transferring knowledge through... Læs mere
Bemærk: Kan leveres før jul.
With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software... Læs mere
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This book analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided.
Bemærk: Kan leveres før jul.
This concise and self-contained introduction builds up the spectral theory of graphs from scratch, including linear algebra and the theory of polynomials. Covering... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
The three-volume set LNCS 13623, 13624, and 13625 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022.