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CRF++-0.46.tar
- Conditional Random Field（CRF）是重要的串学习模型，广泛用于自然语言处理的各个领域。CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。-Conditional Random Field (CRF) is an important learning model series , widely used in natural language processing in various field
CRF++-0.47
- Conditional Random Field（CRF）是重要的串学习模型，广泛用于自然语言处理的各个领域。CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。-Conditional Random Field (CRF) is an important learning model series , widely used in natural language processing in various fiel
CRF++-0.49.tar
- 条件随机场源码，CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。
CRF++-0.50
- Conditional Random Field（CRF）是重要的串学习模型，广泛用于自然语言处理的各个领域。CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。
java based CRF implementation
- java based CRF implementation
CRF++-0.46.tar
- Conditional Random Field（CRF）是重要的串学习模型，广泛用于自然语言处理的各个领域。CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。-Conditional Random Field (CRF) is an important learning model series , widely used in natural language processing in various field
CRF++-0.47
- Conditional Random Field（CRF）是重要的串学习模型，广泛用于自然语言处理的各个领域。CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。-Conditional Random Field (CRF) is an important learning model series , widely used in natural language processing in various fiel
CRF++-0.49.tar
- 条件随机场源码，CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。-Conditions source with the airport, CRF++ Is CRF realize an efficient, scalable, and powerful advantages.
CRF++-0.50
- Conditional Random Field（CRF）是重要的串学习模型，广泛用于自然语言处理的各个领域。CRF++是CRF的一个高效的实现，具有可扩展性好，功能强大的优点。 -Conditional Random Field (CRF) is an important string of learning model, widely used in natural language processing in various fi
CRF++-0.50
- CRF++ 5.0的 source 应用在自然语言识别等领域的机器训练,对2G以上的语料不会出现内存溢出等问题-CRF++ 5.0 of source identification in natural language applications in areas such as machine training corpus of more than 2G of memory will not overflow and other i
CRF
- 这是一个CRF(条件随机域)算法的实现,希望能对从事算法的有些帮助.-This is a CRF (the conditions of random domain) algorithm realize the hope that it can engage in some algorithms to help.
CRF-SocialNetwork
- CRF在SOCIAL NETWORK中应用的概述，使你快速了解CRF的应用领域。-CRF in the SOCIAL NETWORK overview of the application, so you quickly understand the CRF fields of application.
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
CRF
- CRF数据挖掘实现，主要实现的是数据处理部分-data mining
CRF-0.53
- 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 v
crf
- CRF经典文档, 详细介绍了CRF的原理以及算法, 以供大家参考-classical text of CRF
crf
- CRF最权威介绍资料，介绍了CRF的来龙去脉-Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
CRF++-0.58.tar
- crf分词实验工具包，凑字数凑字数凑字数凑字数凑字数(this is a crf tool kits,welcome to use it to complete your task.)
CRF++-0.44.tar
- 条件随机场的c++实现，可用于文本标注、图像分类、分割等领域(conditional random field,CRF++ 0.44)
NER-CRF-HMM-master
- HMM以及CRF用于自然语音处理中的命名识别(HMM and CRF for name recognition in natural speech processing)