Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Flow chart of edge folding algorithm. by Cuiying Zhou (10048078)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

“…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …”

Data and code resources. by Sam Hall-McMaster (10343795)

“…Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

The construction process of the CGO prediction model. by Wenbing Shi (5806160)

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Pseudo-code for the study design model. by Jianpeng Zhang (528185)

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GA pseudo-code. by Jianpeng Zhang (528185)

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DARTS algorithm process. by Yuxuan Ji (13991895)

Algorithm process. by Wei Cui (92129)

Optimization process of BO algorithm. by Hoa Thi Trinh (20347834)

“…Bayesian optimization (BO) algorithms, including BO—Gaussian Process, BO—Random Forest, and Random Search methods, were used to refine the XGBoost model architecture. …”

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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The iterative process of genetic algorithm in the upper-level model. by Zhipeng Huang (1759759)

“…<p>The iterative process of genetic algorithm in the upper-level model.…”

Improve algorithm process. by Ziwei Wu (11386352)

Traditional versus algorithmic process. by Minerva A. Orellana (21553459)

“…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …”

Algorithmic versus integrative process. by Minerva A. Orellana (21553459)

“…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …”

Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…In addition, during the training process, it was found that both the server aggregation algorithm and the client knowledge graph embedding model performance can affect the overall performance of the algorithm.Therefore, a new server aggregation algorithm and knowledge graph embedding model RFE are proposed. …”

Comparison of power consumption in optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

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Accuracy of different electrical and optical neural networks for various input noise levels. by Reyhane Ahmadi (14857363)

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