Results 1 to 10 of about 127,164 (309)
On the minimum stopping sets of product codes [PDF]
It is shown that the certain combinatorial structures called stopping sets have the important role in analysis of iterative decoding. In this paper, the number of minimum stopping sets of a product code is determined by the number of the minimum stopping
Morteza Hivadi, Akbar Zare Chavoshi
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Stopping Sets of Algebraic Geometry Codes [PDF]
Stopping sets and stopping set distribution of a linear code play an important role in the performance analysis of iterative decoding for this linear code. Let $C$ be an $[n,k]$ linear code over $\f$ with parity-check matrix $H$, where the rows of $H$ may be dependent. Let $[n]=\{1,2,...,n\}$ denote the set of column indices of $H$.
Zhang, Jun, Fu, Fang-Wei, Wan, Daqing
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Don't Stop Me Now, `Cause I'm Having a Good Time Screening: Evaluation of Stopping Methods for Safe Use of Priority Screening in Systematic Reviews [PDF]
Introduction Priority screening has the potential to reduce the number of records that need to be annotated in systematic literature reviews. So‐called technology‐assisted reviews (TAR) use machine‐learning with prior include/exclude annotations to ...
Tim Repke +7 more
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Multi-objective calibration of Tank model using multiple genetic algorithms and stopping criteria [PDF]
Calibration of hydrologic models estimates parameter values that cannot be measured and enable the rainfall-runoff processes simulation. Multi-objective evolutionary algorithms can make the calibration faster and more efficient through an iterative ...
Juan Carlos Ticona Gutierrez +4 more
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Improvement of accident prevention measures in cases of spontaneous derailment of railway rolling stock [PDF]
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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Impact of Stop Sets on Stopping Active Learning for Text Classification
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]
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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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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Stopping criteria for ending autonomous, single detector radiological source searches.
While the localization of radiological sources has traditionally been handled with statistical algorithms, such a task can be augmented with advanced machine learning methodologies. The combination of deep and reinforcement learning has provided learning-
Gregory R Romanchek, Shiva Abbaszadeh
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A Survey on Trapping Sets and Stopping Sets
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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