بدائل البحث:
algorithm pre » algorithm where (توسيع البحث), algorithm used (توسيع البحث), algorithm from (توسيع البحث)
pre function » spread function (توسيع البحث), sphere function (توسيع البحث), three function (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
algorithm 1 » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث), algorithm 8217 (توسيع البحث)
a function » _ function (توسيع البحث)
1 function » _ function (توسيع البحث)
algorithm pre » algorithm where (توسيع البحث), algorithm used (توسيع البحث), algorithm from (توسيع البحث)
pre function » spread function (توسيع البحث), sphere function (توسيع البحث), three function (توسيع البحث)
algorithm a » algorithm _ (توسيع البحث), algorithm b (توسيع البحث), algorithms _ (توسيع البحث)
algorithm 1 » algorithm _ (توسيع البحث), algorithms _ (توسيع البحث), algorithm 8217 (توسيع البحث)
a function » _ function (توسيع البحث)
1 function » _ function (توسيع البحث)
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Comparison of deconvolution and optimization algorithms on a batch of data.
منشور في 2021"…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …"
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Prediction performance of different optimization algorithms.
منشور في 2021"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"
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As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76].
منشور في 2020"…In the upper right, a case where the embedded cohort has uniform targets across both attributes, but the distractors added are skewed with <i>f</i><sub>random</sub> = 0.1. …"
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Search Algorithms and Loss Functions for Bayesian Clustering
منشور في 2022"…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …"
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<i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function
منشور في 2022"…<p>We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. …"