Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Darius Braziunas"'
Autor:
Paul Weng, Byron C. Wallace, Biplav Srivastava, Andre Barreto, Jenna Wiens, Rosario A. Uceda-Sosa, Kristian Kersting, Markus Endres, Lawrence Hunter, Mark S. Fox, Amir-massoud Farahmand, Lutz Frommberger, David Poole, Sam Ganzfried, Arnav Jhala, Martijn van Otterlo, Sheila A. McIlraith, Jie Zhang, Arash Shaban-Nejad, Yolanda Gil, Rémi Ronfard, Sriraam Natarajan, Freddy Lecue, Zeinab Noorian, Nina Dethlefs, Guy Van den Broeck, Alessandro Saffiotti, Sébastien Guillet, Darius Braziunas, David L. Buckeridge, Stefano V. Albrecht, Gerald Tesauro, George Konidaris, Heriberto Cuayáhuitl
Publikováno v:
Scopus-Elsevier
AI Magazine; Vol 36, No 1: Spring 2015; 87-98
AI Magazine; Vol 36, No 1: Spring 2015; 87-98
The AAAI-14 Workshop program was held Sunday and Monday, July 27–28, 2012, at the Québec City Convention Centre in Québec, Canada. Canada. The AAAI-14 workshop program included fifteen workshops covering a wide range of topics in artificial intel
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 30
In many personalised recommendation problems, there are examples of items users prefer or like, but no examples of items they dislike. A state-of-the-art method for such implicit feedback, or one-class collaborative filtering (OC-CF), problems is SLI
Publikováno v:
RecSys
We examine the cold-start recommendation task in an online retail setting for users who have not yet purchased (or interacted in a meaningful way with) any available items but who have granted access to limited side information, such as basic demogra
Autor:
Darius Braziunas, Craig Boutilier
Publikováno v:
EC
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elicitation using minimax regret have proven to be very powerful in simulati
Autor:
Darius Braziunas, Craig Boutilier
Publikováno v:
AI Magazine; Vol 29, No 4: Winter 2008; 79
The effective tailoring of decisions to the needs and desires of specific users requires automated mechanisms for preference assessment. We provide a brief overview of recent direct preference elicitation methods: these methods ask users to answer (i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fdc109ead3909a938b04f9f488adf80
http://aaai.org/ojs/index.php/aimagazine/article/view/2203
http://aaai.org/ojs/index.php/aimagazine/article/view/2203
Publikováno v:
ICRA
We propose a new system for vision-based mobile robot navigation in an unmodeled environment. Simple, unobtrusive artificial landmarks are used as navigation and localization aids. The landmark patterns are designed so that they can be reliably detec