这篇技巧说明了如何使用StAX解析器筛选和分类XML文档。
This tip demonstrated the use of StAX parsers for screening and classification of XML documents.
在运行训练程序和分类器之前，您需要准备一些用于训练和测试的文档。
Before you can run the trainer and classifier, you need to do just a little prep work to set up a set of documents for training and a set of documents for testing.
根据其对XML文档结构的感知对XML压缩器进行分类的示意图。
Diagram of classification of XML compressors according to their awareness of the structure of XML documents.
Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.
对文档模型的分类，采用了贝叶斯分类器，并动态调整反馈器的参数。
The classification of the document model, using Bayesian classifier, can dynamically adjust the parameters of feedback devices.
分类时，具有最大生成概率的HMM分类器类标即为测试文档的分类结果。
When a document was classified, the result was created by the HMM classifier which could get the greatest generation probability according to the document.
分类时，具有最大生成概率的HMM分类器类标即为测试文档的分类结果。
When a document was classified, the result was created by the HMM classifier which could get the greatest generation probability according to the document.
应用推荐