Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Teije, Annette ten"'
We propose a method that allows to develop shared understanding between two agents for the purpose of performing a task that requires cooperation. Our method focuses on efficiently establishing successful task-oriented communication in an open multi-
Externí odkaz:
http://arxiv.org/abs/2305.09349
Autor:
van Krieken, Emile, Thanapalasingam, Thiviyan, Tomczak, Jakub M., van Harmelen, Frank, Teije, Annette ten
We study the problem of combining neural networks with symbolic reasoning. Recently introduced frameworks for Probabilistic Neurosymbolic Learning (PNL), such as DeepProbLog, perform exponential-time exact inference, limiting the scalability of PNL s
Externí odkaz:
http://arxiv.org/abs/2212.12393
Autor:
Contempré, Edeline, Szlávik, Zoltán, Mohammadi, Majid, Velazquez, Erick, Teije, Annette ten, Tiddi, Ilaria
Health care professionals rely on treatment search engines to efficiently find adequate clinical trials and early access programs for their patients. However, doctors lose trust in the system if its underlying processes are unclear and unexplained. I
Externí odkaz:
http://arxiv.org/abs/2110.12891
Modelers use automatic differentiation (AD) of computation graphs to implement complex Deep Learning models without defining gradient computations. Stochastic AD extends AD to stochastic computation graphs with sampling steps, which arise when modele
Externí odkaz:
http://arxiv.org/abs/2104.00428
Autor:
van Bekkum, Michael, de Boer, Maaike, van Harmelen, Frank, Meyer-Vitali, André, Teije, Annette ten
The unification of statistical (data-driven) and symbolic (knowledge-driven) methods is widely recognised as one of the key challenges of modern AI. Recent years have seen large number of publications on such hybrid neuro-symbolic AI systems. That ra
Externí odkaz:
http://arxiv.org/abs/2102.11965
Publikováno v:
Journal of Web Engineering, Vol. 18 1-3, pgs. 97-124, 2019
We propose a set of compositional design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation. As in other areas of computer science (knowledg
Externí odkaz:
http://arxiv.org/abs/1905.12389
Autor:
BREIT, ANNA, WALTERSDORFER, LAURA, EKAPUTRA, FAJAR J., SABOU, MARTA, EKELHART, ANDREAS, IANA, ANDREEA, PAULHEIM, HEIKO, PORTISCH, JAN, REVENKO, ARTEM, TEIJE, ANNETTE TEN, VAN HARMELEN, FRANK
Publikováno v:
ACM Computing Surveys; 2023 Suppl14s, Vol. 55, p1-41, 41p
Autor:
Kop, Reinier, Hoogendoorn, Mark, Teije, Annette ten, Büchner, Frederike L., Slottje, Pauline, Moons, Leon M.G., Numans, Mattijs E.
Publikováno v:
In Computers in Biology and Medicine 1 September 2016 76:30-38
Autor:
Contempr��, Edeline, Szl��vik, Zolt��n, Mohammadi, Majid, Velazquez, Erick, Teije, Annette ten, Tiddi, Ilaria
Publikováno v:
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies.
Health care professionals rely on treatment search engines to efficiently find adequate clinical trials and early access programs for their patients. However, doctors lose trust in the system if its underlying processes are unclear and unexplained. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c3320ed3af14f59bdf0447e334b3e97
https://doi.org/10.5220/0010982000003123
https://doi.org/10.5220/0010982000003123
Publikováno v:
In Artificial Intelligence In Medicine September 2023 143