The parameters of algorithms. by Le Huu Binh (18340233)

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Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

“…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…”

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<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. …”

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Eight commonly used benchmark functions. by Guangwei Liu (181992)

“…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …”

Alpha Max Plus Beta Min Algorithm and Arctangent Calculation using Simulink by Ara A. Assim (12512428)

Compare the test functions. by Yanqiu Li (683621)

Algorithm testing. by Ziad M. Ali (12516532)

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Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX by Mohammad Dashtkoohi (15417886)

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

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Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

“…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. …”

Represention of the anneal schedules used as a function of the dimensionless anneal parameter <i>s</i>. by John Golden (9946327)

Algorithm framework. by Zongjin Li (38031)

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The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…For a RDKit molecule, it provides (i) a PNG binary string with an image of the molecule with color-highlighted functional groups; (ii) a list of sets of atom indices (idx), each set corresponding to a functional group; (iii) a list of pseudo-SMILES canonicalized strings for the full functional groups; and (iv) a list of RDKit labeled mol objects, one for each full functional group. …”