剧情简介：Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classificat...(展开全部)
作者：Xiaojin Zhu
出版社：Morgan and Claypool Publishers
ISBN：9781598295474
