At the core of this update is a selection process driven by Meta's artificial intelligence. The algorithm analyzes a user's recent activity to suggest topics that may pique their interest. Users can ...
Abstract: The project portfolio selection and scheduling problem (PPSSP) aims to select and schedule a set of projects, known as a portfolio, to maximize their benefits while adhering to various ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
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