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

"…<p dir="ltr">This dataset was designed to fine-tune code-generation models for converting algorithmic statements written in Kannada or English into Python code. …"

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

The genetic algorithm. حسب Viktoria Zemliak (19500335)

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

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Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. حسب 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. The optimal number of clusters was ascertained from the Gaussian Mixture Model (GMM) analysis to ensure a fair comparison between the two techniques. …"

The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

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The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

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The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

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The speciation of NANEAT model evolution. حسب Wenbing Shi (5806160)

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

"…This behavior was consistent with a computational process based on the successor representation known as successor features and generalized policy improvement (SF&GPI). 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. حسب Wenbing Shi (5806160)

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The folder containing the code is provided as supportive documentation associated with this paper. حسب Quxi Kuang (22493270)

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The structure of the NANEAT model corresponds to the optimal species genome. حسب Wenbing Shi (5806160)

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The structure of the ANEAT model corresponds to the optimal species genome. حسب Wenbing Shi (5806160)

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Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. حسب Dinh K. Tang (20469082)

Modeling approach and network generating algorithm. حسب Matthew Aguirre (9558032)

The algorithm of the applied models. حسب Elif Tuçe Bal (21367965)

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