Researchers at arXiv introduced a heterogeneous Mixture-of-Experts (MoE) framework that combines decision trees, linear support vector machines, and quadratic discriminant analysis under a unified pro…
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…
A new study using connected vehicle telemetry data from Greater Sydney, Australia, found that ARIMA, a classical time-series model, achieves the lowest mean absolute error (MAE: 162.21) in forecasting…
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…