Results 11 to 20 of about 451,044 (311)
Punishment Weighting for Criminal Acts of Corruption in Indonesia
SASI, 2022 Introduction: Corruption in Indonesia is categorized as an extraordinary crime where an extraordinary measure is needed to give a deterrent effect to the perpetrators.
Mahdi Abdullah Syihab, Muhammad Hatta
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Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning [PDF]
Computer Vision and Pattern Recognition, 2019 A family of loss functions built on pair-based computation have been proposed in the literature which provide a myriad of solutions for deep metric learning.
Xun Wang +4 more
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Weighting by Gene Tree Uncertainty Improves Accuracy of Quartet-based Species Trees
bioRxiv, 2022 Phylogenomic analyses routinely estimate species trees using methods that account for gene tree discordance. However, the most scalable species tree inference methods, which summarize independently inferred gene trees to obtain a species tree, are ...
Chao Zhang, S. Mirarab
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On weighted approximation with Jacobi weights [PDF]
Journal of Approximation Theory, 2019 18 ...
Kirill A. Kopotun +2 more
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CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Modern deep neural networks can easily overfit to biased training data containing corrupted labels or class imbalance. Sample re-weighting methods are popularly used to alleviate this data bias issue.
Jun Shu +3 more
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Calderon weights as Muckenhoupt weights [PDF]
Indiana University Mathematics Journal, 2013 The Calder on operator S is the sum of the the Hardy averaging operator and its adjoint. The weights w for which S is bounded on L p (w) are the Calder on weights of the class Cp. We give a new characterization of the weights in Cp by a single condition which allows us to see thatCp is the class of Muckenhoupt weights associated to a maximal operator ...
Duoandikoextea, Javier +2 more
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Inverse Dirichlet weighting enables reliable training of physics informed neural networks [PDF]
Machine Learning: Science and Technology, 2021 We characterize and remedy a failure mode that may arise from multi-scale dynamics with scale imbalances during training of deep neural networks, such as physics informed neural networks (PINNs).
S. Maddu +3 more
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IMAM AL-BAYHAQI’S PREFERENCES RELATED TO THE BOOK OF USURPATION IN HIS BOOK AL-KHILAFIYAT COMPARATIVE FIQH STUDY [PDF]
مجلة جامعة الأنبار للعلوم الإسلامية, 2022 Praise be to God, Lord of the worlds, and the best of prayers and blessings be upon our prophet Muhammad. Since saving money is one of the purposes of the Sharia, and one of the five necessities, we find that Sharia has paid great attention to preserving
Bahaa Hameed Shraida - +1 more
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Fast-Convergent Federated Learning with Adaptive Weighting [PDF]
ICC 2021 - IEEE International Conference on Communications, 2020 Federated learning (FL) enables resource-constrained edge nodes to collaboratively learn a global model under the orchestration of a central server while keeping privacy-sensitive data locally.
Hongda Wu, Ping Wang
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Density-based weighting for imbalanced regression
Machine-mediated learning, 2021 In many real world settings, imbalanced data impedes model performance of learning algorithms, like neural networks, mostly for rare cases. This is especially problematic for tasks focusing on these rare occurrences.
M. Steininger +4 more
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