Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
Abstract: Complex matrix derivatives play an important role in matrix optimization, since they form a theoretical basis for the Karush-Kuhn-Tucker (KKT) conditions associated with matrix variables. We ...
ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...
When performing Spearman partial correlation analysis in JASP, I've observed an inconsistency in the generated scatter plot output. The software correctly calculates and labels the partial Spearman ...
Correlation analysis is a commonly used method in data analysis and mining. By analyzing the relationships between the feature and target variables, it helps identify influential factors in business ...
The Ivy Portfolio allocates 20% each to domestic stocks, international stocks, intermediate bonds, commodities, and REITs, mimicking Harvard and Yale endowments. REITs offer high returns, low ...
The link between practicing faith and enjoying happy marriages is well documented both empirically, and anecdotally. But couples do not need to have tied the knot to benefit from practicing shared ...
You’ve found a job that feels exciting. Your education, knowledge, and experience are fresh. You’re eager to show what you bring to the table. Then comes the first big meeting. You have been preparing ...
1 Department of Radiology, West China Hospital, Sichuan University, Chengdu, China 2 West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China Purpose: To ...
In basketball, each player’s skill level is the key to a team’s success or failure, the skill level is affected by many personal and environmental factors. A physics-informed AI statistics has become ...
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