Abstract: The classification and recognition of household appliance loads is of great significance for understanding user electricity consumption behavior, optimizing electricity planning, and ...
Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
This project turns raw text into TF‑IDF features (uni-grams + bi-grams) and trains a linear SVM. The baseline predicts the most frequent class; the tuned model captures discriminative terms across ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results