Are you familiar with ensemble methods and boosting algorithms? How does Sift Science combine multiple signals like these (which individually are pretty weak)

Are you familiar with ensemble methods and boosting algorithms? How does Sift Science combine multiple signals like these (which individually are pretty weak) into one fraud detection system with a high level of predictive accuracy?