Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Completion times for different algorithms. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Reward function related parameters. by Honglei Pang (22693724)

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Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

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Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

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Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

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Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

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The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

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Baseline one-class SVM model. by Bernhard Vennemann (7434353)

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Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

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Steps of data preprocessing. by Bernhard Vennemann (7434353)

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Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

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Overview of algorithm. by Takayuki Niizato (162226)

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. …”

Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

Data_Sheet_1_Unsupervised clustering algorithms improve the reproducibility of dynamic contrast-enhanced magnetic resonance imaging pulmonary perfusion quantification in muco-obstr... by Marilisa Konietzke (13999845)

“…Quantifying the extent of abnormalities using unsupervised clustering algorithms in residue function maps leads to intrinsic normalization and could reduce variability.…”