Tag: support vector machines

A systematic review of mortgage-lending fairness research finds decision trees offer the most interpretable bias detection while neural networks and ...

A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic preprocessing, achieved ...

A machine learning study using the ISBSG software project repository found that models trained on larger datasets containing low-quality records ...

A calibration-driven facial landmark system aboard an autonomous electric shuttle distinguished five driver behavioral states with interpretable machine learning, reaching ...

A comparative study found that Kolmogorov–Arnold Network surrogates closely reproduced LPA perfectionism-profile assignments in 1,385 Turkish adolescents, with EfficientKAN offering ...

A new commentary argues that the accuracy of automated pediatric heart murmur detection depends less on machine learning classifiers than ...

A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled aggregate concrete ...

A new study shows quantum kernel methods dramatically outperform classical RBF kernels in industrial acoustic anomaly detection when anomaly distributions ...

Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...

A systematic review in Artificial Intelligence Review maps six methodological families of time series one-class classification and charts the challenges ...