Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Patricia Riddle"'
Autor:
Steffen Albrecht, David Broderick, Katharina Dost, Isabella Cheung, Nhung Nghiem, Milton Wu, Johnny Zhu, Nooriyan Poonawala-Lohani, Sarah Jamison, Damayanthi Rasanathan, Sue Huang, Adrian Trenholme, Alicia Stanley, Shirley Lawrence, Samantha Marsh, Lorraine Castelino, Janine Paynter, Nikki Turner, Peter McIntyre, Patricia Riddle, Cameron Grant, Gillian Dobbie, Jörg Simon Wicker
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Forecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospital admissions. Hospit
Externí odkaz:
https://doaj.org/article/bc4496c0b482406da57fbcd3677319ef
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 17:1-36
Learning from streaming data is challenging as the distribution of incoming data may change over time, a phenomenon known as concept drift. The predictive patterns, or experience learned under one distribution may become irrelevant as conditions chan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed55ab1c0f544169113f36330f14167e
https://doi.org/10.1145/3587098
https://doi.org/10.1145/3587098
Publikováno v:
Methods of information in medicine. 61(S 02)
Background Automated clinical decision support for risk assessment is a powerful tool in combating cardiovascular disease (CVD), enabling targeted early intervention that could avoid issues of overtreatment or undertreatment. However, current CVD ris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::230fa01b195d6b1487c4ec8dcca5c486
https://pubmed.ncbi.nlm.nih.gov/36564011
https://pubmed.ncbi.nlm.nih.gov/36564011
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::727054cc3bdc5192d1257aa6acb34ca1
https://doi.org/10.1109/dsaa54385.2022.10032368
https://doi.org/10.1109/dsaa54385.2022.10032368
Publikováno v:
Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86df63948ae731b2e1ebd4f5425ddc4f
https://doi.org/10.1145/3535508.3545562
https://doi.org/10.1145/3535508.3545562
Publikováno v:
Data Mining and Knowledge Discovery, 35(3), 796-836. Springer Open
A data stream is a sequence of observations produced by a generating process which may evolve over time. In such a time-varying stream the relationship between input features and labels, or concepts, can change. Adapting to changes in concept is most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0206d700d8222a022514bc1d3967dc79
https://doi.org/10.1007/s10618-021-00736-w
https://doi.org/10.1007/s10618-021-00736-w
Publikováno v:
Journal of Artificial Intelligence Research. 68:159-224
Learning a sequence of tasks is a long-standing challenge in machine learning. This setting applies to learning systems that observe examples of a range of tasks at different points in time. A learning system should become more knowledgeable as more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4edf052ba31b7fe2587ff1cb9aaae566
https://doi.org/10.1613/jair.1.11432
https://doi.org/10.1613/jair.1.11432
Publikováno v:
AAAI
In the past few years, new very successful bidirectional heuristic search algorithms have been proposed. Their key novelty is a lower bound on the cost of a solution that includes information from the g values in both directions. Kaindl and Kainz (19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ca218b8c7213087fedad5c197a74b8
https://doi.org/10.1609/aaai.v34i03.5611
https://doi.org/10.1609/aaai.v34i03.5611
Autor:
Joshua Bensemann, Alex Peng, Diana Benavides-Prado, Yang Chen, Neset Tan, Paul Michael Corballis, Patricia Riddle, Michael Witbrock
Publikováno v:
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::637df8b3a4e8b075276627ec9f7a9e56
https://doi.org/10.18653/v1/2022.cmcl-1.9
https://doi.org/10.18653/v1/2022.cmcl-1.9
Publikováno v:
Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcc524d106ce639d2e7afd4edb7f9a87
https://doi.org/10.18653/v1/2022.dlg4nlp-1.8
https://doi.org/10.18653/v1/2022.dlg4nlp-1.8