Results 11 to 20 of about 6,413,659 (289)
, 2013 Uncertainty models such as sets of desirable gambles and (conditional) lower previsions can be represented as convex cones. Checking the consistency of and drawing inferences from such models requires solving feasibility and optimization problems.
D. Avis +7 more
core +4 more sources
COMPARISON OF ESTIMATION METHODS TO QUANTIFY METHANE PLUME CONCENTRATION AT HIGH SPATIAL RESOLUTION FROM HYPERSPECTRAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The detection and the quantification of greenhouse gases is essential to climate change studies, avoid leakages in industrial site, prevent accidental explosions.
N. Nesme +6 more
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Data & Policy, 2023 Several governmental organizations all over the world aim for algorithmic accountability of artificial intelligence systems. However, there are few specific proposals on how exactly to achieve it.
Marc P. Hauer +2 more
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Algorithmic audits of algorithms, and the law
AI and Ethics, 2022 Algorithmic decision making is now widespread, ranging from health care allocation to more common actions such as recommendation or information ranking. The aim to audit these algorithms has grown alongside. In this paper, we focus on external audits that are conducted by interacting with the user side of the target algorithm, hence considered as a ...
Erwan Le Merrer +2 more
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Research on recognizing required items based on opencv and machine learning [PDF]
SHS Web of Conferences, 2022 Starting from the background of the outbreak of New Coronavirus, in order to realize the function of automatically identifying the required items by machine, the support vector machine algorithm in the neural network and the traditional computer vision ...
Ma Qingyun, Huang Xubin
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Brain Sciences, 2022 Working memory (WM) plays an important role in cognitive activity. The WM system is used to temporarily store information in learning and decision-making.
Hui Wei, Xiao Jin, Zihao Su
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Algorithm selection of anytime algorithms [PDF]
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020 Anytime algorithms for optimization problems are of particular interest since they allow to trade off execution time with result quality. However, the selection of the best anytime algorithm for a given problem instance has been focused on a particular budget for execution time or particular target result quality.
Alexandre D. Jesus +3 more
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Towards a process-driven network analysis
Applied Network Science, 2020 A popular approach for understanding complex systems is a network analytic one: the system’s entities and their interactions are represented by a graph structure such that readily available methods suitable for graph structures can be applied.
Mareike Bockholt, Katharina Anna Zweig
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THE COMPARISON OF DRAINAGE NETWORK EXTRACTION BETWEEN SQUARE AND HEXAGONAL GRID-BASED DEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The automatic extraction of valleys or ridges from DEM is a long term topic in the GIS and hydrology fields and a number of algorithms have been developed.
L. Wang, T. Ai
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BJPsych Open, 2020 BackgroundElectroconvulsive therapy (ECT) is recommended in treatment guidelines as an efficacious therapy for treatment-resistant depression. However, it has been associated with loss of autobiographical memory and short-term reduction in new learning ...
Richard J. Porter +12 more
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