Abstract: Supervised latent variable regression methods such as partial least squares (PLS) and dynamic PLS have found wide applications in data analytics, quality prediction, and fault monitoring in ...
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
This report addresses a critical, recurring regression on Windows that severely halts productivity immediately after automatic updates. Binary Unrecognized: Immediately following any recent automatic ...
Each month, we comb through dozens of soon-to-be-published books, for ideas and good writing for the Review’s site. Often we’re struck by particular paragraphs or sentences from the galleys that stack ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
ABSTRACT: The promotion of sustainable agricultural practices is crucial for achieving environmental sustainability. Moreover, there is limited documentation on how green agriculture moderates the ...
A 3D graphic showing an artist's interpretation of human X and Y chromosomes. On the left are blue bundles of genetic material making an X shape and on the right blue bundles of genetic material ...
Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...
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