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pro vyhledávání: '"Taylor Ian A"'
In the streaming data setting, where data arrive continuously or in frequent batches and there is no pre-determined amount of total data, Bayesian models can employ recursive updates, incorporating each new batch of data into the model parameters' po
Externí odkaz:
http://arxiv.org/abs/2309.14271
Autor:
Bauza, Maria, Bronars, Antonia, Hou, Yifan, Taylor, Ian, Chavan-Dafle, Nikhil, Rodriguez, Alberto
Existing robotic systems have a clear tension between generality and precision. Deployed solutions for robotic manipulation tend to fall into the paradigm of one robot solving a single task, lacking precise generalization, i.e., the ability to solve
Externí odkaz:
http://arxiv.org/abs/2307.13133
Record linkage is the task of combining records from multiple files which refer to overlapping sets of entities when there is no unique identifying field. In streaming record linkage, files arrive sequentially in time and estimates of links are updat
Externí odkaz:
http://arxiv.org/abs/2307.07005
Publikováno v:
In Psychology of Sport & Exercise January 2025 76
Autor:
Taylor, Ian (AUTHOR)
Publikováno v:
New Scientist. 12/14/2024, Vol. 264 Issue 3521/22, p60-61. 2p. 1 Color Photograph.
Autor:
Calcraft, Thomas, Stanke-Scheffler, Nicole, Nans, Andrea, Lindemann, Dirk, Taylor, Ian A., Rosenthal, Peter B.
Publikováno v:
In Cell 8 August 2024 187(16):4213-4230
Autor:
McGarvey, Richard, Methot, Richard D., Punt, André E., Matthews, Janet M., Taylor, Ian G., Feenstra, John E., Doering, Kathryn
Publikováno v:
In Fisheries Research August 2024 276
Publikováno v:
In Fisheries Research June 2024 274
Autor:
Abdelrazak Morsy, Mohammad Hamdy, Lilienthal, Ingrid, Lord, Martin, Merrien, Magali, Wasik, Agata Magdalena, Sureda-Gómez, Marta, Amador, Virginia, Johansson, Henrik J., Lehtiö, Janne, Garcia-Torre, Beatriz, Martin-Subero, Jose Ignacio, Tsesmetzis, Nikolaos, Tao, Sijia, Schinazi, Raymond F., Kim, Baek, Sorteberg, Agnes L., Wickström, Malin, Sheppard, Devon, Rassidakis, Georgios Z., Taylor, Ian A., Christensson, Birger, Campo, Elias, Herold, Nikolas, Sander, Birgitta
Publikováno v:
In Blood 9 May 2024 143(19):1953-1964
Adopting shared data resources requires scientists to place trust in the originators of the data. When shared data is later used in the development of artificial intelligence (AI) systems or machine learning (ML) models, the trust lineage extends to
Externí odkaz:
http://arxiv.org/abs/2105.06370