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pro vyhledávání: '"EXPERT RULES"'
A method for solving concept-based learning (CBL) problem is proposed. The main idea behind the method is to divide each concept-annotated image into patches, to transform the patches into embeddings by using an autoencoder, and to cluster the embedd
Externí odkaz:
http://arxiv.org/abs/2406.19897
Autor:
Paul J. Zwier, David M. Malone
Expert Rules answers the most commonly asked questions about experts: How do you approach an expert problem? What is the impact of Daubert on expert preparation, direct, and cross? How do you structure direct examination of an expert? How do you avoi
Autor:
Konstantinov, Andrei V., Utkin, Lev V.
A problem of incorporating the expert rules into machine learning models for extending the concept-based learning is formulated in the paper. It is proposed how to combine logical rules and neural networks predicting the concept probabilities. The fi
Externí odkaz:
http://arxiv.org/abs/2402.14726
Akademický článek
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Autor:
do Nascimento, Vinicius D.1,2 (AUTHOR) cmicelifarias@cos.ufrj.br, Alves, Tiago A. O.3 (AUTHOR) tiago@ime.uerj.br, de Farias, Claudio M.1 (AUTHOR) ddutra@cos.ufrj.br, Dutra, Diego Leonel Cadette1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5623. 30p.
Akademický článek
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Publikováno v:
In Fuzzy Sets and Systems 30 August 2023 466
Autor:
Li, Yupeng1,2,3 (AUTHOR), Cao, Weihua1,2,3 (AUTHOR) weihuacao@cug.edu.cn, Hu, Wenkai1,2,3 (AUTHOR), Wu, Min1,2,3 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jun2023, Vol. 35 Issue 17, p12297-12306. 10p.
Autor:
Vinicius D. do Nascimento, Tiago A. O. Alves, Claudio M. de Farias, Diego Leonel Cadette Dutra
Publikováno v:
Sensors, Vol 24, Iss 17, p 5623 (2024)
Maritime traffic is essential for global trade but faces significant challenges, including navigation safety, environmental protection, and the prevention of illicit activities. This work presents a framework for detecting illegal activities carried
Externí odkaz:
https://doaj.org/article/b880cb0a1ba74803b44f69e14e70ca15
In the scope of WNUT-2020 Task 2, we developed various text classification systems, using deep learning models and one using linguistically informed rules. While both of the deep learning systems outperformed the system using the linguistically infor
Externí odkaz:
http://arxiv.org/abs/2009.03191