We conducted intervention component analysis to identify key digital intervention features and a coding framework. All prioritized trial arms were coded using this framework and were included in ...

Check out Python’s powerful new linters and profiling tools, and learn how virtual environments can save you time and trouble ...

Abstract: In this paper, we propose a novel algorithm to solve the row-sparse principal component analysis problem without relying on any data structure assumption. Sparse principal component analysis ...

Security analysis is the process of evaluating stocks, bonds, and other financial instruments to determine their intrinsic value, risk, and return potential. The term gained prominence through the ...

Abstract: As an efficient feature engineering tool, principal component analysis (PCA) has been widely used for feature extraction in the past decades. While a deep form of PCA has been developed for ...