Machine Learning Data Markets: Trading Data using a Multi-Agent System-Reference-Cited by-同舟云学术

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Machine Learning Data Markets: Trading Data using a Multi-Agent System

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
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Author:

Baghcheband Hajar¹,Soares Carlos²,Reis Luis Paulo¹

Affiliation:

1. University of Porto,FEUP - Faculty of Engineering LIACC-Artificial Intelligence & Computer Science Laboratory (member of LASI LA),Porto,Portugal

2. University of Porto Fraunhofer AICOS Portugal,FEUP - Faculty of Engineering LIACC-Artificial Intelligence & Computer Science Laboratory (member of LASI LA),Porto,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10101871/10101874/10101946.pdf?arnumber=10101946

Reference20 articles.

1. Big Data Market Optimization Pricing Model Based on Data Quality

2. Distributed Subgradient Methods for Multi-Agent Optimization

3. A Semantic Multi-Agent system to Exchange Information between Hospitals

4. Deep reinforcement learning based trading agents: Risk curiosity driven learning for financial rules-based policy

5. OpenML

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Data Market Based on Multiagent Systems;IEEE Internet Computing;2024-07

2. Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM);Lecture Notes in Computer Science;2024

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