Modified sparse regression to solve heterogeneity and hybrid models for increasing the prediction accuracy of seaweed big data with outliers
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-60612-7
Abstract: The linear regression is critical for data modelling, especially for scientists. Nevertheless, with the plenty of high-dimensional data, there are data with more explanatory variables than the number of observations. In such circumstances, traditional approaches… read more here.
Keywords: big data; regression; modified sparse; sparse regression ... See more keywords
Modified Sparse Representation Classification Framework for Online Writer Identification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2871267
Abstract: In this paper, we propose a modified strategy using sparse representation to identify the authorship of online handwritten documents. The note-worthy aspect of this paper lies in the introduction of a-priori information for each dictionary… read more here.
Keywords: sparse representation; modified sparse; writer; representation classification ... See more keywords