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Found 5 papers, 0 papers with code
Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk
Preliminary results showed mixed effects on acceptance after using GutGPT compared to the dashboard or search engine but appeared to improve content mastery based on simulation performance.
PCA, SVD, and Centering of Data
The research detailed in this paper scrutinizes Principal Component Analysis (PCA), a seminal method employed in statistics and machine learning for the purpose of reducing data dimensionality.
Shape-Preserving Dimensionality Reduction : An Algorithm and Measures of Topological Equivalence
The method is designed to find linear projection $L$ which preserves the persistent diagram of a point cloud $\mathbb{X}$ via simulated annealing.
Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation
Discovering patterns of the complex high-dimensional data is a long-standing problem.
Network Distance Based on Laplacian Flows on Graphs
In this paper, we focus on proposing such a distance between network objects.
