Enhancing off-policy optimisation in structured Markov decision processes via Thompson Sampling by Sourav Ganguly (293262)

“…We propose a novel algorithm that integrates Thompson Sampling, originally developed for multi-armed bandit problems, to enable efficient and safe policy identification. …”

RRT algorithm. by Naeem Ul Islam (19837966)

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RRT* algorithm. by Naeem Ul Islam (19837966)

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Sample images that were feed to untrained model. by Vaibhav Gadag (20642471)

“…In the current work, we have developed a model using a dataset that consists of a combination of 928 ECG images taken from publicly available Mendeley Data. …”

Sample images that were fed to the trained model. by Vaibhav Gadag (20642471)

“…In the current work, we have developed a model using a dataset that consists of a combination of 928 ECG images taken from publicly available Mendeley Data. …”

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Original and processed excel file. by Moath Alatefi (20058654)

“…Moreover, the process data are not normally distributed, and the proposed transformation algorithm performs well in reducing data skewness. …”

FDM process printing parameters. by Moath Alatefi (20058654)

“…Moreover, the process data are not normally distributed, and the proposed transformation algorithm performs well in reducing data skewness. …”

Construction process of RF. by Xini Fang (20861990)

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Block diagram of the proposed algorithm for online estimation of non-stationary moving average processes. by Martin Dodek (20623832)

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SPSS Data File for Sample 1. by Mariusz Zięba (21369920)

“…Like all motivations it is operated via stimulus response algorithms. For compassion motivation stimulus sensitivity focuses on the processing of indicators of suffering, distress and need, called engagement. …”

SPSS Data File for Sample 3. by Mariusz Zięba (21369920)

“…Like all motivations it is operated via stimulus response algorithms. For compassion motivation stimulus sensitivity focuses on the processing of indicators of suffering, distress and need, called engagement. …”

SPSS Data File for Sample 2. by Mariusz Zięba (21369920)

“…Like all motivations it is operated via stimulus response algorithms. For compassion motivation stimulus sensitivity focuses on the processing of indicators of suffering, distress and need, called engagement. …”

Mechanical Part Point Cloud Completion Dataset by Yuchao Jiang (21744920)

Acc epoch loss curve of IPCA algorithm. by Lu Lin (201289)

Kidney Transplant Biopsy-derived signature matrix of 18 cell phenotypes (KTB18) for deconvolution using the CIBERSORTx algorithm by Alexis Varin (20591600)

“…By comparing the mixture files to the signature matrix, CIBERSORTx can estimate the proportions of different cell types within the sample.</p><p dir="ltr">The files included here are used for and obtained from the construction of a kidney allograft biopsy signature matrix by CIBERSORTx, and can be downloaded to infer cell fractions on kidney allograft biopsy bulk RNA-seq or microarray data.…”

Quantification of αSyn^D seeding in patient CSF samples. by Ankit Srivastava (742990)

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Stratification of samples differing in αSyn^D seed concentrations. by Ankit Srivastava (742990)

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Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf by Luciana Erika Yaginuma (10477013)

“…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …”

RE-RRT* algorithm. by Naeem Ul Islam (19837966)

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