Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

If you go along with the stereotypes about naive people, you might assume they're more than just uninformed, they're innocent. Often, this is framed as being child-like, as if they as just extreme ...

Abstract: This study presents a robust classification framework for brain tumor diagnosis using Gaussian Naive Bayes. The method was selected for its simplicity, efficiency with high-dimensional data, ...

Abstract: Reconstructing deformable anatomical structures from endoscopic videos is a pivotal and promising research topic that can enable advanced surgical applications and improve patient outcomes.

Train the PhysTwin with the data Use the processed data to train the PhysTwin. Instructions on how to get above experiments_optimization, experiments and gaussian_output (Can adjust the code below to ...