Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

This is the code for SGIR, a semi-supervised framework for Graph Imbalanced Regression. Data imbalance is easily found in annotated data when the observations of certain continuous label values are ...

Abstract: Learning to build 3D scene graphs is essential for real-world perception in a structured and rich fashion. However, previous 3D scene graph generation methods utilize a fully supervised ...

Accurate predictions of earthquakes are crucial for disaster preparedness and risk mitigation. Conventional machine learning models like Random Forest, SVR, and XGBoost are frequently used for seismic ...

Abstract: In human pose estimation methods based on graph convolutional architectures, the human skeleton is usually modeled as an undirected graph whose nodes are body joints and edges are ...

She has taken acting and dance classes since childhood, and she is also a model. Rose began her acting career in 2014. After appearing in an episode of Casualty , she joined the cast of the series ...

New Delhi: A bunch of floral and fruity. A little bit of sweet. And woody. And nutty. And minty. This description from a graph, of a scent of rose – which would be considered intangible by most – now ...