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YASMET
- YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och编写，一个简短但非常经典的最大熵统计模型实现源码。-YASMET : Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) by Franz Josef Och preparation, a brief but very classic maximu
PatTermExtraction
- 使用无监督的机器学习方法进行术语抽取的系统,具有预处理、分词、抽取术语等功能。-Unsupervised machine learning methods for term extraction system with preprocessing, segmentation, extracted terms, and so on.
CRF-0.52
- CRF工具包，最新版，windows下使用，已编译好可直接使用。分词，特征选择，机器学习-CRF toolkit, the latest version, windows used good can be directly compiled to use. Segmentation, feature selection, machine learning
pocket_crf_0.45.tar
- pocket_crf_0.45，CRF++的改进版，占资源更少，速度更快，支持多阶特征。机器学习，实体识别。-pocket_crf_0.45, CRF++ version of the improvement, accounting for fewer resources, faster, support multi-band characteristics. Machine learning, to identify entities.
dingpiao
- 本报告主要介绍系统是怎么通过c 程序实现的。在程序的运行中，可以根据画面进行选择进入菜单操作,在设计过程中，设计者查阅资料，请教同学，多次上机调试，通过共同努力的最终成功地保证了整个程序的运行正常。通过设计过程，我们深刻认识到“学无止境”和“它山之石，可以工玉”的寓意。 -This report introduces the system is how to achieve through the c program. Operation of the procedure, you can
RESEARCH_ON_KEY_TECHNOLOGIES_OF_THE_INFORMATION_EX
- 说明：主要集中在命名实体识别和实体关系抽取两个方面，将先进的机器学习算 法和全新的理论方法一全信息理论运用到我们的整个研究过程中。-Descr iption: The main focus on named entity recognition and entity extraction between the two aspects of advanced machine learning algorithms and new theoretical methods of informat
maxent
- 运用最大熵对一个文本中的类进行训练模型，然后可用模型进行预测，结果返回类名，是机器学习语言的重要部分，支持汉字分类-Use of maximum entropy of a text in class training model, the model can then be used to predict the results returned class name is an important part of machine learning languages, support for
PredictionIO-develop
- PredictionIO, a machine learning server for software developers and data engineers.
machine-learning-yearning-andrew-ng
- 机器学习 andrew ng,Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning a