500 <i>ϕ</i> vectors learned from hard thresholding. حسب Ilias Rentzeperis (10215602)

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

"…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…"

Performance of double contrast learning, self-supervised contrast learning and no contrast learning. حسب Bing Zhang (129)

الموضوعات:

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…Hierarchical clustering was computed using the scikit learn module in Python. C) Dendrogram of averaged functional connectivity from healthy subjects. …"

Double comparison learning. حسب Bing Zhang (129)

الموضوعات:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

الموضوعات:

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

الموضوعات:

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

"…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …"

Policy network (<i>θ</i>′) of SAM to accommodate PPO algorithm. حسب Zhenhan Huang (12107002)

Performance of double comparison learning on three public datasets. حسب Bing Zhang (129)

الموضوعات:

Python cv coding screenshots of all developed fingerprints on distinct surfaces. حسب Nisha Yadav (366131)

الموضوعات:

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

الموضوعات:

Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? حسب Minyi Su (1425976)

الموضوعات:

Overview of rumor detection framework for adversarial dual contrast learning graph neural networks. حسب Bing Zhang (129)

الموضوعات:

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

الموضوعات:

Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"