A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Abstract: Medical transcriptions, a rich yet underutilized source of clinical information, offer significant potential for supporting computer-aided diagnosis. However, this data is often unstructured ...
Abstract: A fault diagnosis method based on EEMD and multi-class Logistic regression was proposed for various types of faults. First, the vibration signal is decomposed by EEMD method, and then the AR ...