Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

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Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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Algorithm used for important sampling of the likelihood function. by Zhiyong Huang (3620000)

Comparison of the performance of both models against 13 other models on the independent test dataset. by Aastha Vatsyayan (9981916)

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Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. by Laurentius O. Osapoetra (9931759)

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

Algorithm testing. by Ziad M. Ali (12516532)

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“trend+var” algorithm. by Roman Olson (6577004)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

Subjects: “…Cell Biology…”

The image of the Aekley function. by Zhengyu Xu (8550660)

Biophysically realistic neuron models recapitulate the distinct electrophysiological phenotypes of CA3 pyramidal cells. by Daniele Linaro (227790)

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Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Implementation algorithm. by Michael A. Colman (7163735)

Venn diagrams showing overlap of the total of overrepresented/underrepresented kinases for both cohorts. by Erica A. K. DePasquale (11851483)

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Data_Sheet_1_Transcranial magnetic stimulation mapping of the motor cortex: comparison of five estimation algorithms.docx by Yuanyuan Chen (165812)

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Algorithm framework. by Zongjin Li (38031)

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Cell model. by Qi Song (121209)

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Comparison of algorithm search curves. by Bowen Li (200859)

“…The optimal parameters such as the width and weight of RBF are determined, and the optimal RDC-RBF fault diagnosis model is established. The model is applied to the diagnosis of different fault types of pumping units, and compared with the current mainstream models. …”

Characteristics of the learning algorithms and activation functions employed in the MLP 2-3-2-5 model. by Anna Badura (4495546)

“…<p>Characteristics of the learning algorithms and activation functions employed in the MLP 2-3-2-5 model.…”