Matthew E. Taylor – författare

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7 produkter

1. 

   Distributed Artificial Intelligence

   Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings

   Av Matthew E. Taylor, Yang Yu m. fl.

   Häftad, 2020

   568 kr

   Lägg i varukorg

   This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020.The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing …

2. 

   Distributed Artificial Intelligence

   Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings

   Av Yang Gao, Edith Elkind m. fl.

   E-bok, 2020

   734 kr

   Lägg i varukorg

   This book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing …

3. 

   Federated and Transfer Learning

   Av Roozbeh Razavi-Far, Boyu Wang m. fl.

   Inbunden, 2022

   1802 kr

   Lägg i varukorg

   This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning …

4. 

   Federated and Transfer Learning

   Av Qiang Yang, Matthew E. Taylor m. fl.

   E-bok, 2022

   2341 kr

   Lägg i varukorg

   This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning …

5. 

   Federated and Transfer Learning

   Av Roozbeh Razavi-Far, Boyu Wang m. fl.

   Häftad, 2023

   1802 kr

   Lägg i varukorg

   This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning …

6. 

   Applying Reinforcement Learning on Real-World Data with Practical Examples in Python

   Av Philip Osborne, Kajal Singh m. fl.

   Häftad, 2022

   606 kr

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   Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-human …

7. 

   Applying Reinforcement Learning on Real-World Data with Practical Examples in Python

   Av Matthew E. Taylor, Kajal Singh m. fl.

   E-bok, 2022

   815 kr

   Lägg i varukorg

   Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-human …