NGM predictions and empirical human data across learning configurations with items presented sequentially. حسب Spencer Caplan (10188380)

الموضوعات:

Second-block trial data from [16]. حسب Spencer Caplan (10188380)

الموضوعات:

NGM predictions and empirical human data after training on a single item. حسب Spencer Caplan (10188380)

الموضوعات:

Test-grid from Xu & Tanenbaum. حسب Spencer Caplan (10188380)

الموضوعات:

Classical Predictive Coding for motion processing. حسب Elnaz Nemati (21402730)

الموضوعات:

Dispersion signal in principal and residual space in PCA and KPCA algorithm. حسب Emmanuel Ndongue Esseme (22615091)

Code and test data for Polycenter حسب Ya-Ke Zhai (14248922)

Scripts for GC, CRC, and IBD in Python and R حسب Animesh Acharjee (6400427)

الموضوعات:

Classification of PavCA Index scores with the k-Means algorithm where k = 3. حسب Camille Godin (21445879)

Positive predictive value (PPV, %) by survival time following first seizure code. حسب André Idegård (22041446)

الموضوعات:

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

الموضوعات:

Implementation code and computational results.  حسب Xunqian Xu (21261899)

Flowchart for GR codes. حسب R. Sakthivel (2589547)

"…The algorithm was developed and coded in Verilog and simulated using Modelsim. …"

Learning achievement prediction results. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Flowchart of the stacking method. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Receiver operating characteristic curve. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Related parameter settings of each model. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Feature frequency distribution histogram. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Pearson correlation heatmap. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"

Details of the dataset. حسب Tingting Tong (11993299)

"…This study introduces a predictive framework for learning achievement based on ensemble learning techniques. Specifically, six distinct machine learning models are utilized to establish a base learner, with logistic regression serving as the meta learner to construct an ensemble model for predicting learning achievement. …"