Zobrazeno 1 - 10
of 16 114
pro vyhledávání: '"De Smet AS"'
As illustrated by the success of integer linear programming, linear integer arithmetic is a powerful tool for modelling combinatorial problems. Furthermore, the probabilistic extension of linear programming has been used to formulate problems in neur
Externí odkaz:
http://arxiv.org/abs/2410.12389
Neural probabilistic logic systems follow the neuro-symbolic (NeSy) paradigm by combining the perceptive and learning capabilities of neural networks with the robustness of probabilistic logic. Learning corresponds to likelihood optimization of the n
Externí odkaz:
http://arxiv.org/abs/2408.08133
Autor:
De Smet, Maxim, Matsumoto, Yuta, Zwerver, Anne-Marije J., Tryputen, Larysa, de Snoo, Sander L., Amitonov, Sergey V., Sammak, Amir, Samkharadze, Nodar, Gül, Önder, Wasserman, Rick N. M., Rimbach-Russ, Maximilian, Scappucci, Giordano, Vandersypen, Lieven M. K.
The computational power and fault-tolerance of future large-scale quantum processors derive in large part from the connectivity between the qubits. One approach to increase connectivity is to engineer qubit-qubit interactions at a distance. Alternati
Externí odkaz:
http://arxiv.org/abs/2406.07267
Autor:
De Smet, Aaron, Gast, Arne, Goldstein, Drew, Steele, Richard, Rappaport, James1, Rainone, Nicolette2
Publikováno v:
McKinsey Quarterly. 2024 Q4, Issue 4, p120-129. 10p. 5 Color Photographs.
Autor:
De Smet, Aaron, Hancock, Bryan, Durth, Sandra, Reich, Angelika, Mugayar-Baldocchi, Marino, Paguay, James, Yueyang Chen
Publikováno v:
McKinsey Quarterly. 2024, Issue 3, p16-29. 14p. 1 Color Photograph, 2 Diagrams, 3 Graphs.
Categorical random variables can faithfully represent the discrete and uncertain aspects of data as part of a discrete latent variable model. Learning in such models necessitates taking gradients with respect to the parameters of the categorical prob
Externí odkaz:
http://arxiv.org/abs/2311.12569
Autor:
Stephen J. Coulson, Jesamine Bartlett, Sven Boström, John E. Brittain, Kirsten S. Christoffersen, Peter Convey, Willem H. De Smet, Klára Dózsa-Farkas, Torbjørn Ekrem, Arne Fjellberg, Leo Füreder, Mark A.K. Gillespie, Daniel Gustafsson, Dariusz J. Gwiazdowicz, Łukasz Kaczmarek, Małgorzata Kolicka, Ronald Laniecki, Tirza M. Moerman, Stanisław Seniczak, Anna Seniczak, Jean-Christophe Simon, Elisabeth Stur, Geir E. E. Søli, Karina Wieczorek, Krzysztof Zawierucha, Katarzyna Zmudczynska-Skarbek
Publikováno v:
Arctic Science, Vol 10, Iss 4, Pp 799-814 (2024)
Arctic terrestrial invertebrate biodiversity is generally poorly known, but the archipelago of Svalbard has one of the most up-to-date inventories of its terrestrial and freshwater faunas of any Arctic region, offering a baseline for long term monito
Externí odkaz:
https://doaj.org/article/d700a13be1f54d798cae08121d46e273
Autor:
Els Plettinckx, Nadine Berndt, Rita Seixas, Stefaan De Smet, Jérôme Antoine, Helena Bruggeman, Nina Harth, Athanasia Papadopoulou, Ioulia Bafi, Anastasios Fotiou, Evelina Pridotkienė, Rima Kalinauskaitė, Brigita Rašimaitė, Myria Tsiakkirou, Margot Balcaen, Kim Fernandez, Lies Gremeaux, Nicky Dirkx, Karin De Ridder, Ioanna Yiasemi, Josefina Mavrou
Publikováno v:
Archives of Public Health, Vol 82, Iss 1, Pp 1-10 (2024)
Abstract Background Compared to the general population, people living in prison are at an increased risk to experience negative (mental) health outcomes. Moreover, delinquency and drug use have many risk factors in common. A need exists for increasin
Externí odkaz:
https://doaj.org/article/68f13c93527e44f6955fc8ea9aec3a7f
Autor:
Mondher Khdhiri, Ella Thomas, Chanel de Smet, Priyanka Chandar, Induja Chandrakumar, Jean M. Davidson, Paul Anderson, Samuel D. Chorlton
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background Commonly used approaches for genomic investigation of bacterial outbreaks, including SNP and gene-by-gene approaches, are limited by the requirement for background genomes and curated allele schemes, respectively. As a result, the
Externí odkaz:
https://doaj.org/article/7db57d959c4846609d25aa2110df5720
Autor:
Gautam Kamthan, Thijs Meenink, Isabella C. Morgan, Andrew A. Harvey, Jorge L. Lince, Jorrit Smit, Maarten Beelen, James C. Tsai, Marc D. de Smet, Tsontcho Ianchulev
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Preclinical technical feasibility study of robot-assisted microinvasive glaucoma surgery using a novel ophthalmic robot-assisted surgery system. Methods Feasibility was assessed in synthetic eye models in two stages: Stage I, noni
Externí odkaz:
https://doaj.org/article/deb08edb46d549d19f127052fc9d5d79