Abstract: Geographically Weighted Random Forest (GWRF) model is a hybrid between the Geographically Weighted Regression (GWR) model and the Random Forest model. This model effectively captures spatial ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...
Abstract: The Gaussian modulated continuous variable quantum key distribution (GM-CVQKD) protocol is known to maximise the mutual information between two parties during quantum key distribution (QKD).
In this project, we explore Random Matrix Theory and its unique mathematical physics. We demonstrate the universal statistical behavior of eigenvalues in random matrices. Sampling from 50,000 random ...
3D Gaussian Splatting enables real-time rendering of complex scenes but still remains unnecessary overhead. We propose AdR-Gaussian, which employs lossless early culling to narrow the tile range of ...
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