SUPPORT VECTOR MACHINES FOR PREDICTION AND CLASSIFICATION IN SUPPLY CHAIN MANAGEMENT AND OTHER APPLICATIONS

摘要

Disclosed are support vector machines (SVMs) for prediction and classification in supply chain management and other applications (500). The present invention provides implementations of SVMs capable of operating on non-uniform, “partial” or otherwise limited data, to predict transaction outcomes, classify potential transactions, assess transaction risk, and provide degree of confidence values for those predictions or classifications. The SVMs of the invention are useful in SRM/SCM systems and many other applications such as weather forecasting and retail loss prevention analysis or prediction.