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pro vyhledávání: '"Collins, Andrew P."'
Recommendation algorithms perform differently if the users, recommendation contexts, applications, and user interfaces vary even slightly. It is similarly observed in other fields, such as combinatorial problem solving, that algorithms perform differ
Externí odkaz:
http://arxiv.org/abs/2012.15151
Autor:
Collins, Andrew P., Mumtaz, Muzammil, Tripathi, Sudharshan, Varier, Shruthi K., Turner, Alexander W., Clark, Aaron J., Goel, Vijay K., Theologis, Alekos A.
Publikováno v:
In The Spine Journal September 2024
Autor:
Hull, Peyton A.1 (AUTHOR), Collins, Andrew P.2 (AUTHOR), Maag, Brenden3 (AUTHOR), Schwartzman, Jonathan3 (AUTHOR), Gapinski, Zachary A.4 (AUTHOR), Service, Benjamin C.3,4 (AUTHOR)
Publikováno v:
Advances in Orthopedics. 4/20/2024, Vol. 2024, p1-7. 7p.
Agent-based modeling (ABM) is a powerful paradigm to gain insight into social phenomena. One area that ABM has rarely been applied is coalition formation. Traditionally, coalition formation is modeled using cooperative game theory. In this paper, a h
Externí odkaz:
http://arxiv.org/abs/2009.00519
Data analytics allows an analyst to gain insight into underlying populations through the use of various computational approaches, including Monte Carlo methods. This paper discusses an approach to apply Monte Carlo methods to hedonic games. Hedonic g
Externí odkaz:
http://arxiv.org/abs/2007.12127
Automated per-instance algorithm selection often outperforms single learners. Key to algorithm selection via meta-learning is often the (meta) features, which sometimes though do not provide enough information to train a meta-learner effectively. We
Externí odkaz:
http://arxiv.org/abs/2006.12328
Autor:
Collins, Andrew, Beel, Joeran
The effectiveness of recommender system algorithms varies in different real-world scenarios. It is difficult to choose a best algorithm for a scenario due to the quantity of algorithms available, and because of their varying performances. Furthermore
Externí odkaz:
http://arxiv.org/abs/1912.08694
Publikováno v:
27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019
Information about the contributions of individual authors to scientific publications is important for assessing authors' achievements. Some biomedical publications have a short section that describes authors' roles and contributions. It is usually wr
Externí odkaz:
http://arxiv.org/abs/1912.10170
Akademický článek
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Autor:
Collins, Andrew, Beel, Joeran
Many recommendation algorithms are available to digital library recommender system operators. The effectiveness of algorithms is largely unreported by way of online evaluation. We compare a standard term-based recommendation approach to two promising
Externí odkaz:
http://arxiv.org/abs/1905.11244