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An Introduction To Quantum Machine Learning For Engineers

by Osvaldo Simeone

OUT OF STOCK OR NOT AVAILABLE

 Provides a self-contained introduction to quantum machine learning for an audience of engineers with a background in probability and linear algebra. It first describes background, concepts, and tools, and then moves on to applications.
ENGLISH

Wireless For Machine Learning - A Survey

by Carlo Fischione, H. Vincent Poor, Henrik Hellstrom, Jose Mairton B., Jr. Da Silva, Mingzhe Chen, Mohammad Mohammadi Amiri e Viktoria Fodor

93,99€

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OUT OF STOCK OR NOT AVAILABLE

 Offers an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support Machine Learning (ML) services over distributed datasets. A comprehensive introduction to analog over-the-air computation and digital radio resource management optimized for ML is presented, and reviews are given of important works.
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Bilevel Methods For Image Reconstruction

by Caroline Crockett e Jeffrey A. Fessler

OUT OF STOCK OR NOT AVAILABLE

 State-of-the-art image reconstruction methods learn these prior assumptions from training data using various machine learning techniques, such as bilevel methods. This review discusses methods for learning parameters for image reconstruction problems using bilevel formulations.
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Foundations Of User-Centric Cell-Free Massive Mimo

by Emil Bjornson, Luca Sanguinetti e Ozlem Tugfe Demir

OUT OF STOCK OR NOT AVAILABLE

 Considers the cell-free network architecture that is designed to reach the goal of uniformly high data rates everywhere. The authors introduce the concept of a cell-free network before laying out the foundations of what is required to design and build such a network.

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