Many machine learning approaches in the field of Artificial Intelligence (AI) have been developed. Most of them rely on using large data sets to build up knowledge. However, a system usually has only few data in the early stages for use. Consequently, Early Knowledge acquisition becomes a challenging problem, and this problem is unfortunately getting more urgent while the life cycle of a product is getting shorter in today's environment. This article presents a method to increase the accuracy of learning using small data.
關聯:
WSEAS Transactions on Information Science and Applications, Vol.2 no.2, pp.89-94
