Search results for Pattern Recognition and Machine Learning

Abbreviations and Notation
Iddo Drori
Book:

The Science of Deep Learning

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23 September 2022

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18 August 2022, pp xix-xxii
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Acknowledgments
Iddo Drori
Book:

The Science of Deep Learning

Published online:

23 September 2022

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18 August 2022, pp xvii-xviii
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11 - Reinforcement Learning
from Part IV - Reinforcement Learning
Iddo Drori
Book:

The Science of Deep Learning

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23 September 2022

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18 August 2022, pp 193-228
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13 - Applications
from Part V - Applications
Iddo Drori
Book:

The Science of Deep Learning

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23 September 2022

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18 August 2022, pp 253-292
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8 - Transformers
from Part II - Architectures
Iddo Drori
Book:

The Science of Deep Learning

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23 September 2022

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18 August 2022, pp 142-150
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2 - Forward and Backpropagation
from Part I - Foundations
Iddo Drori
Book:

The Science of Deep Learning

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23 September 2022

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18 August 2022, pp 9-34
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Frontmatter
Iddo Drori
Book:

The Science of Deep Learning

Published online:

23 September 2022

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18 August 2022, pp i-iv
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Scientific Writing and Reviewing Best Practices
Iddo Drori
Book:

The Science of Deep Learning

Published online:

23 September 2022

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18 August 2022, pp 296-298
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Index
Iddo Drori
Book:

The Science of Deep Learning

Published online:

23 September 2022

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18 August 2022, pp 335-338
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4 - Regularization
from Part I - Foundations
Iddo Drori
Book:

The Science of Deep Learning

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23 September 2022

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18 August 2022, pp 56-66
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15 - Over-the-Air Computation for Distributed Learning over Wireless Networks
from Part II - Wireless Networks for Machine Learning
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 434-456
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7 - Constrained Unsupervised Learning for Wireless Network Optimization
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 182-211
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16 - Federated Knowledge Distillation
from Part II - Wireless Networks for Machine Learning
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 457-485
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11 - Capacity Estimation Using Machine Learning
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 317-350
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9 - Reinforcement Learning for Physical Layer Communications
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 231-284
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2 - Deep Neural Networks for Joint Source-Channel Coding
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 23-54
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12 - Collaborative Learning over Wireless Networks: An Introductory Overview
from Part II - Wireless Networks for Machine Learning
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 353-384
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6 - Model-Based Machine Learning for Communications
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

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16 June 2022

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04 August 2022, pp 145-181
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4 - Channel Coding via Machine Learning
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

Published online:

16 June 2022

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04 August 2022, pp 77-109
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5 - Channel Estimation, Feedback, and Signal Detection
from Part I - Machine Learning for Wireless Networks
Edited by Yonina C. Eldar, Weizmann Institute of Science, Israel, Andrea Goldsmith, Princeton University, New Jersey, Deniz Gündüz, Imperial College of Science, Technology and Medicine, London, H. Vincent Poor, Princeton University, New Jersey
Book:

Machine Learning and Wireless Communications

Published online:

16 June 2022

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04 August 2022, pp 110-144
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Pattern Recognition and Machine Learning

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2190 results in Pattern Recognition and Machine Learning

Abbreviations and Notation

Acknowledgments

11 - Reinforcement Learning

13 - Applications

8 - Transformers

2 - Forward and Backpropagation

Frontmatter

Scientific Writing and Reviewing Best Practices

Index

4 - Regularization

15 - Over-the-Air Computation for Distributed Learning over Wireless Networks

7 - Constrained Unsupervised Learning for Wireless Network Optimization

16 - Federated Knowledge Distillation

11 - Capacity Estimation Using Machine Learning

9 - Reinforcement Learning for Physical Layer Communications

2 - Deep Neural Networks for Joint Source-Channel Coding

12 - Collaborative Learning over Wireless Networks: An Introductory Overview

6 - Model-Based Machine Learning for Communications

4 - Channel Coding via Machine Learning

5 - Channel Estimation, Feedback, and Signal Detection

Pattern Recognition and Machine Learning

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2190 results in Pattern Recognition and Machine Learning