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

Data and code resources. by 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 folder containing the code is provided as supportive documentation associated with this paper. by Quxi Kuang (22493270)

Subjects:

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Machine learning algorithm and nomogram model construction for obesity. by Jinghui Xie (3942290)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”

Hardware_code. by Mehdi Nadiri Andabili (22097275)

“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”

Software_code. by Mehdi Nadiri Andabili (22097275)

“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

Subjects:

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”

Classification model performance on cross-validation for selected learning algorithms. by Daniel He (3477920)

DCA curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>DCA curves on testing data of eight machine learning algorithm models.</p>…”

Performance of models in predicting AI speaker users by machine learning algorithm. by Yunwoo Choi (20448432)

“…<p>Performance of models in predicting AI speaker users by machine learning algorithm.…”

ROC curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>ROC curves on testing data of eight machine learning algorithm models.</p>…”

Calibration curves on testing data of eight machine learning algorithm models. by Xin Liu (43569)

“…<p>Calibration curves on testing data of eight machine learning algorithm models.</p>…”

Evaluation of pre-treatment models using different machine learning algorithms. by Yiran Li (1818355)

“…<p>Evaluation of pre-treatment models using different machine learning algorithms.…”

Evaluation of post-treatment models using different machine learning algorithms. by Yiran Li (1818355)

“…<p>Evaluation of post-treatment models using different machine learning algorithms.…”