Performance of various biclustering algorithms on FilmTrust dataset with Q-learning. by Muhammad Waqar (500788)

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Performance of various biclustering algorithms on ML-100K dataset with Q- learning. by Muhammad Waqar (500788)

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Performance of various biclustering algorithms on ML-latest-small dataset with Q-learning. by Muhammad Waqar (500788)

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Snapshot of Q-table at some time instance for Q-learning. by Muhammad Waqar (500788)

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The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

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Evaluation metrics with Q-learning on ML-latest-small. by Muhammad Waqar (500788)

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Evaluation results obtained with Q-learning on ML-100K. by Muhammad Waqar (500788)

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Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Q-Q plots for a) Support Vector Regression, b) Decision Tree Regression, c) Random Forest Regression, d) XGBoost Regression, e) CatBoost Regression, f) AdaBoost Regression, g) Extr... by Akshansh Mishra (21001499)

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Data_File_1_Q_Learning in IsOWC system.csv by Subhash Suman (20854010)

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Algorithm process. by Wei Cui (92129)

Graphs showing comparison of Q_{_Predicted} and Q_{_Actual}. by M. A. Habib (16839161)

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Q-learning model of a licking behavior during Go/No-go auditory discrimination task. by Huu Hoang (9188747)

Subjects: “…supervised learning algorithms…”

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

BIC score, estimated for 17 mice, of the five Q-learning models with different numbers of hyper-parameters. by Huu Hoang (9188747)

Subjects: “…supervised learning algorithms…”