The feature-weighted receptive field: an interpretable encoding model for complex feature spaces
Sign Up to like & getrecommendations! Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.06.035
Abstract: ABSTRACT We introduce the feature‐weighted receptive field (fwRF), an encoding model designed to balance expressiveness, interpretability and scalability. The fwRF is organized around the notion of a feature map—a transformation of visual stimuli into visual… read more here.
Keywords: feature; model; receptive field; weighted receptive ... See more keywords
A Feature Weighted Mixed Naive Bayes Model for Monitoring Anomalies in the Fan System of a Thermal Power Plant
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DOI: 10.1109/jas.2022.105467
Abstract: With the increasing intelligence and integration, a great number of two-valued variables (generally stored in the form of 0 or 1) often exist in large-scale industrial processes. However, these variables cannot be effectively handled by… read more here.
Keywords: naive bayes; weighted mixed; feature weighted; model ... See more keywords
A Feature-Weighted SVR Method Based on Kernel Space Feature
Sign Up to like & getrecommendations! Published in 2018 at "Algorithms"
DOI: 10.3390/a11050062
Abstract: Support Vector Regression (SVR), which converts the original low-dimensional problem to a high-dimensional kernel space linear problem by introducing kernel functions, has been successfully applied in system modeling. Regarding the classical SVR algorithm, the value… read more here.
Keywords: weighted svr; kernel space; feature weighted; feature ... See more keywords