MSBoost is a gradient boosting algorithm that improves performance by selecting the best model from multiple parallel-trained models for each layer, excelling in small and noisy datasets.

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...

A PyTorch-based Bayesian Network framework designed to handle continuous data, enabling continuous inference with continuous CPDs. It leverages GPU acceleration and batch operations, and is intended ...

The West Virginia Secondary School Activities Commission’s Board of Control unanimously approved on Tuesday a classification structure that would take effect in the 2025-2026 academic year.

Next, this paper designs corresponding detectors within the Bayesian framework based on the one-step and two-step general likelihood ratio test (GLRT) criteria, denoted as OGLRT and TGLRT, as well as ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

A Bayesian active learning-based soft calibration strategy is proposed to iteratively and interactively learn a decision boundary of the binary classifier as an improved feeder-level PFR while ...

We ascertained 12-month outcomes from the Quebec universal electronic health databases. We designed and analyzed the study within a Bayesian paradigm to supplement existing knowledge. The primary ...