Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...

Researchers in China have developed FullReg, a semi-supervised regression framework that weights pseudo-labels by data similarity and stabilizes training with cross-epoch residual connections, ...

A positive and unlabeled learning (PUL) problem occurs when a machine learning set of training data has only a few positive labeled items and many unlabeled items. PUL problems often occur with ...

Dr. James McCaffrey of Microsoft Research provides a code-driven tutorial on PUL problems, which often occur with security or medical data in cases like training a machine learning model to predict if ...