Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Local Means Thresholding Algorithm shows high robustness. by Araven Tiroumalechetty (17827252)

data_code.zip by Mengmeng Gong (20129994)

“…This study introduces a novel inflation algorithm t-X for parameter estimation and validates its feasibility based on theICM used for El Nino and Southern Oscillation (ENSO) simulation and prediction. …”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …”

Data and code used in this article. by Feng Shen (151470)

“…<div><p>In this study, the traditional lag structure selection method in the Mixed Data Sampling (MIDAS) regression model for forecasting GDP was replaced with a machine learning approach using the particle swarm optimization algorithm (PSO). …”

Classification of PavCA Index scores with the k-Means algorithm where k = 3. by Camille Godin (21445879)

The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

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The structure of the data sample. by Wenbing Shi (5806160)

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The principle of sample data augmentation. by Wenbing Shi (5806160)

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Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

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The genome coding scheme. by Wenbing Shi (5806160)

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Positive predictive values (PPVs) of the register-based algorithms to identify individuals with poststroke epilepsy (PSE). All algorithms required (i) a diagnostic code for stroke... by André Idegård (22041446)

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G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

The code for sample size calculation. by Ying Zhou (25031)

“…Based on the above, this study aims to establish and validate a clinical prediction model for FET outcomes using support vector classification (SVC) algorithms, based on MV-FLOW^™ and multidimensional transvaginal ultrasound imaging features. …”

Code and data. by Shangyang Jin (21772466)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Maple code for algorithm 3. by Peter Thompson (165468)

The strategy of sorting the sparrow population based on the rank. by Liyan Sun (760586)

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