Researchers at arXiv (paper 2609.04300v1) found that Random Forest achieved the highest F1 scores of 0.97 on IEEE-30 and 0.86 on IEEE-14 bus systems for classifying power system contingencies into saf…
A new benchmark for classifying research papers as good (highly cited) or non-good (retracted) using only textual features from titles and abstracts achieves up to 91.12% accuracy with FastText and Su…
Researchers proposed new convex losses for Support Vector Machines (SVM) and shallow neural networks, applied to binary classification, and solved the primal SVM problem using Particle Swarm Optimizat…
Machine learning is a sub-field of artificial intelligence that uses data to train predictive models, following a two-phase flow of computationally expensive offline training and fast, cheap inference…