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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
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which function » beach function (Expand Search)
algorithm cl » algorithm co (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
cl function » l function (Expand Search), cell function (Expand Search), cep function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
python function » protein function (Expand Search)
which function » beach function (Expand Search)
algorithm cl » algorithm co (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
cl function » l function (Expand Search), cell function (Expand Search), cep function (Expand Search)
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Benchmarking functions.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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Efficient algorithms to discover alterations with complementary functional association in cancer
Published 2019“…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”
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An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions
Published 2021“…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. …”
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Function convergence curve.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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69
Continuous Probability Distributions generated by the PIPE Algorithm
Published 2022“…The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data. …”
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23 benchmark functions.
Published 2025“…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”
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The SSIM for the different algorithms.
Published 2024“…The mean square error decreased by 0.10dB. When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”
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77
Algorithm operation steps.
Published 2025“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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Comparison of algorithm search curves.
Published 2023“…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”
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