Results 21 to 30 of about 680,702 (313)
Sensors, 2021 The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging.
Abdulaziz Alhumam
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, 2023 Wave is a provably EUF-CMA (existential unforgeability under adaptive chosen message attacks) digital signature scheme based on codes [15]. It is a hash-and-sign primitive and its security is built according to a GPV-like framework [19] under two assumptions related to coding theory: (i) the hardness of finding a word of prescribed Hamming weight and ...
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Identification of a nonlinear dynamic biological model using the dominant parameter selection method [PDF]
, 2010 The identification of nonlinear models sometimes encounters problems because of the limited amount of available measurements in combination with a large number of uncertain model parameters to be identified.
Gutman Per-O +2 more
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An Improved Numerical DBSCAN Algorithm Based on Non-IIDness Learning
IEEE Access, 2021 In clustering algorithm research, objects, attributes and other aspects of data sets are usually considered to be independent and identically distributed; that is, each object is assumed to be an independent and uniformly distributed individual with no ...
Yanmei Wang +3 more
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, 2008 Are learning processes selection processes? This paper takes a slightly modified version of the account of selection presented in Hull et al. (Behav Brain Sci 24:511–527, 2001) and asks whether it applies to learning processes.
Justine Kingsbury, Kingsbury, Justine
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Regularisation parameter selection. [PDF]
, 2022 Further details regarding the selection of the optimal regularisation parameter as well as an illustration of the systematic dependency of model fit on the regularisation parameter chosen. (PDF)
Rick Evertz (12422705) +2 more
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Parameter selection for HOTV regularization [PDF]
Applied Numerical Mathematics, 2018 Popular methods for finding regularized solutions to inverse problems include sparsity promoting $\ell_1$ regularization techniques, one in particular which is the well known total variation (TV) regularization. More recently, several higher order (HO) methods similar to TV have been proposed, which we generally refer to as HOTV methods. In this letter,
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Efficient tuning parameter selection by cross-validated score in high dimensional models [PDF]
, 2016 As DNA microarray data contain relatively small sample size compared to the number of genes, high dimensional models are often employed. In high dimensional models, the selection of tuning parameter (or, penalty parameter) is often one of the crucial ...
Jung, Yoonsuh, Yoonsuh Jung
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Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach [PDF]
, 2023 Image parsing is among the core tasks in the field of image processing and computer vision having wide-ranging applications in the areas of autonomous driving, image interpretation, medical analysis, and remote sensing.
Azam, B, Verma, B, Zhang, M
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Entropy, 2016 Heart rate variability (HRV) is a non-invasive measurement based on the intervals between normal heart beats that characterize cardiac autonomic function. Decreased HRV is associated with increased risk of cardiovascular events.
Christopher Mayer +4 more
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