Results 11 to 20 of about 12,817,495 (340)
Concentrated Stopping Set Design for Coded Merkle Tree: Improving Security Against Data Availability Attacks in Blockchain Systems [PDF]
Information Theory Workshop, 2020 In certain blockchain systems, light nodes are clients that download only a small portion of the block. Light nodes are vulnerable to data availability (DA) attacks where a malicious node hides an invalid portion of the block from the light nodes ...
Debarnab Mitra, Lev Tauz, L. Dolecek
semanticscholar +1 more source
Impact of Stop Sets on Stopping Active Learning for Text Classification
2022 IEEE 16th International Conference on Semantic Computing (ICSC), 2022 Active learning is an increasingly important branch of machine learning and a powerful technique for natural language processing. The main advantage of active learning is its potential to reduce the amount of labeled data needed to learn high-performing models.
Luke Kurlandski, Michael Bloodgood
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New stopping criteria for iterative root finding [PDF]
Royal Society Open Science, 2014 A set of simple stopping criteria is presented, which improve the efficiency of iterative root finding by terminating the iterations immediately when no further improvement of the roots is possible.
Jorgen L. Nikolajsen
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Frontiers in Conservation Science, 2021 Familiarity with the landscape increases foraging efficiency and safety. Thus, when animals are confronted with a novel environment, either by natural dispersal or translocation, establishing a home range becomes a priority.
David Saltz +2 more
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Improvement of accident prevention measures in cases of spontaneous derailment of railway rolling stock [PDF]
E3S Web of Conferences, 2023 There has been researched on railway station tracks to determine the method of automatically stopping motion content in cases where Motion Content has gone away on its own.
Yusupov Aziz +3 more
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Stopping manoeuvre of high speed vessels fitted with screw and waterjet propulsion [PDF]
, 2009 Concern about the increase in high-speed vessel traffic necessitates steps to bring out safety guidelines in order to regulate and improve their manoeuvrability.
Krishnankutty, P., Varyani, K.
core +3 more sources
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples [PDF]
IEEE International Conference on Computer Vision, 2023 Sample selection is a prevalent method in learning with noisy labels, where small-loss data are typically considered as correctly labeled data. However, this method may not effectively identify clean hard examples with large losses, which are critical ...
Su-Qin Yuan, Lei Feng, Tong-Liang Liu
semanticscholar +1 more source
Early Stopping for Deep Image Prior [PDF]
Trans. Mach. Learn. Res., 2021 Deep image prior (DIP) and its variants have showed remarkable potential for solving inverse problems in computer vision, without any extra training data. Practical DIP models are often substantially overparameterized.
Hengkang Wang +5 more
semanticscholar +1 more source
A Survey on Trapping Sets and Stopping Sets
CoRR, 2017 LDPC codes are used in many applications, however, their error correcting capabilities are limited by the presence of stopping sets and trapping sets. Trapping sets and stopping sets occur when specific low-wiehgt error patterns cause a decoder to fail.
Aiden Price, Joanne L. Hall
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On the Hardness of Approximating Stopping and Trapping Sets [PDF]
IEEE Transactions on Information Theory, 2010 We prove that approximating the size of stopping and trapping sets in Tanner graphs of linear block codes, and more restrictively, the class of low-density parity-check (LDPC) codes, is NP-hard. The ramifications of our findings are that methods used for estimating the height of the error-floor of moderate- and long-length LDPC codes, based on stopping
Mcgregor, A, Milenkovic, O
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