The article introduces a new framework for feature selection in machine learning models. The approach uses a feature masking method, allowing the same model to be used during feature selection,…
Continue readingThe article discusses Iterated Relevance Matrix Analysis (IRMA), a method for identifying a linear subspace that represents class-specific information in a data set by repeatedly retraining Generalized Matrix Learning Vector…
Continue readingThis article discusses incorporating prior knowledge into data-driven modeling to improve performance, reliability, and generalization. It focuses on the use of manifolds, particularly Lie Manifolds, for modeling finite dimensions and…
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