什么是增量学习

In industrial life, data usually become available gradually, thisfact requires data analysis systems to have the capability to learninformation incrementally. Learning from new data without forgettingprior knowledge is known as incremental learning. Its requirement become challenge since most fundamental supervised learning algorithms are lack of the ability to incremental learning, in most of these cases the involved data analysis systems would rebuild the new classifiers on the new data set, unfortunately, these procedures normally lead to the phenomenon known as "catastrophic forgetting", the previously learned information lost, the result could be even worse if the old data are no longer available.