Results 21 to 30 of about 22,856,606 (379)
A Pseudo Random Pursuit Strategy for Atomic Clocks
IEEE Access, 2023 The atomic clock prediction algorithm is a critical part of the atomic time scale system to ensure its stability and accuracy. Random pursuit strategy (RPS) has been verified on the prediction capability of hydrogen maser and cesium clock in our previous
Qian Xu +4 more
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BMC Public Health, 2017 Background As service provision and patient behaviour varies by day, healthcare data used for public health surveillance can exhibit large day of the week effects. These regular effects are further complicated by the impact of public holidays.
Elizabeth Buckingham-Jeffery +5 more
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Computation, 2023 In max-plus algebra, some algorithms for determining the eigenvector of irreducible matrices are the power algorithm and the Kleene star algorithm. In this research, a modified Kleene star algorithm will be discussed to compensate for the disadvantages ...
Ema Carnia +4 more
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IEEE Access, 2020 Along with the barbarous growth of spams, anti-spam technologies including rule-based approaches and machine-learning thrive rapidly as well. In antispam industry, the rule-based systems (RBS) becomes the most prominent methods for fighting spam due to ...
Tian Xia
semanticscholar +1 more source
A Multi-Dimensional Matrix Product—A Natural Tool for Parameterized Graph Algorithms
Algorithms, 2022 We introduce the concept of a k-dimensional matrix product D of k matrices A1,…,Ak of sizes n1×n,…,nk×n, respectively, where D[i1,…,ik] is equal to ∑ℓ=1nA1[i1,ℓ]×…×Ak[ik,ℓ].
Mirosław Kowaluk, Andrzej Lingas
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Real-time complexity constrained encoding [PDF]
, 2016 Complex software appliances can be deployed on hardware with limited available computational resources. This computational boundary puts an additional constraint on software applications.
Lambert, Peter +4 more
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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting [PDF]
AAAI Conference on Artificial Intelligence, 2020 Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning. Long sequence time-series forecasting (LSTF) demands a high prediction capacity of the model, which is the ability to capture ...
Haoyi Zhou +6 more
semanticscholar +1 more source
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics [PDF]
Annual Conference Computational Learning Theory, 2023 We investigate the time complexity of SGD learning on fully-connected neural networks with isotropic data. We put forward a complexity measure -- the leap -- which measures how"hierarchical"target functions are.
E. Abbe +2 more
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Some variants of reverse selective center location problem on trees under the Chebyshev and Hamming norms [PDF]
Yugoslav Journal of Operations Research, 2017 This paper is concerned with two variants of the reverse selective center location problems on tree graphs under the Hamming and Chebyshev cost norms in which the customers are existing on a selective subset of the vertices of the underlying tree.
Etemad Roghayeh, Alizadeh Behrooz
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Fractional-Order Discrete-Time SIR Epidemic Model with Vaccination: Chaos and Complexity
Mathematics, 2022 This research presents a new fractional-order discrete-time susceptible-infected-recovered (SIR) epidemic model with vaccination. The dynamical behavior of the suggested model is examined analytically and numerically.
Zai-Yin He +4 more
semanticscholar +1 more source