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This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.
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Bemærk: Kan ikke leveres før jul.
This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences.
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Blockchain and other trustless systems have gone from being relatively obscure technologies, which were only known to a small community of computer scientists and cryptologists, to mainstream phenomena that are now considered powerful game changers for many industries.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and... Læs mere
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Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
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This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life is unthinkable without optimization.
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This book introduces the state-of-the-art algorithms for data and computation privacy.
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To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm.