A Scalable Method for Online Learning of Non-linear Preferences Based on Anonymous Negotiation Data

2006

Presented at the International Joint Conference on Autonomous Agents and Multiagent Systems, Hakodate, Japan

Additional Metadata
THEME	Software (theme 1), Logistics (theme 3), Energy (theme 4)
Publisher	ACM Press
Editor	H. Nakashima , not CWI et al
Conference	International Joint Conference on Autonomous Agents and Multiagent Systems
Organisation	Intelligent and autonomous systems
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Somefun, K., & La Poutré, H. (2006). A Scalable Method for Online Learning of Non-linear Preferences Based on Anonymous Negotiation Data. In H. Nakashima & . not . CWI et al (Eds.), Proceedings of International Conference on Autonomous Agents and Multiagent Systems 2006 (5) (pp. 417–419). ACM Press.

See Also
article Efficient Methods for Automated Multi-Issue Negotiation: Negotiating over a Two-Part Tariff D.J.A. Somefun (Koye), E.H. Gerding (Enrico) and J.A. La Poutré (Han)
article Efficient Methods for Automated Multi-Issue Negotiation: Negotiating over a Two-Part Tariff D.J.A. Somefun (Koye), E.H. Gerding (Enrico) and J.A. La Poutré (Han)

Publication