crf++-0.53.zip CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is designed for generic purpose and will be applied to a variety of NLP tasks, such as N

针对样本决策库数据量大的问题选用基于粗糙集对提取的样本数据进行离散化-Sample library data for decision-making problem of large sample selection based on rough sets were discrete data extraction