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Description: 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 fields. CRF CRF is the realization of an efficient, with scalability, and powerful advantage.
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Size: 1104468 |
Author: 王志强 |
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Description: 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 fields. CRF CRF is the realization of an efficient, with scalability, and powerful advantage.
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Size: 676723 |
Author: liangbo |
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Description: java based CRF implementation
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Size: 1775548 |
Author: zy_vxd |
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Description: 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 fields. CRF CRF is the realization of an efficient, with scalability, and powerful advantage.
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Size: 1104896 |
Author: 王志强 |
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Description: 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 fields. CRF CRF is the realization of an efficient, with scalability, and powerful advantage.
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Size: 676864 |
Author: liangbo |
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Description: 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.
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Size: 589824 |
Author: nkzzp |
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Description: 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 fields. CRF++ Is CRF realize an efficient, scalable, and powerful advantages.
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Size: 1084416 |
Author: willee |
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Description: 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 issues
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Size: 368640 |
Author: 李菲 |
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Description: 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.
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Size: 2044928 |
Author: 李力 |
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Description: 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.
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Size: 184320 |
Author: 安安 |
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Description: CRF++5.01,条件随机场,很好用很流行的一个文本分类软件,可以用于自然 语言的处理,标签,分类,词性发现,实现环境为C语言。-CRF++ 5.01, conditions with the airport, very good very popular with a text classification software, can be used in natural language processing, labeling, sorting, part of speech that the realization of the environment for C language.
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Size: 744448 |
Author: 陈先开 |
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Description: 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
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Size: 467968 |
Author: 袁鹏 |
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Description: CRF数据挖掘实现,主要实现的是数据处理部分-data mining
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Size: 8192 |
Author: juansusan |
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Description: 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 Named Entity Recognition, Information Extraction and Text Chunking.
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Size: 467968 |
Author: hanxuedong |
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Description: 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
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Size: 154624 |
Author: calvin |
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Description: 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
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Size: 154624 |
Author: test |
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Description: hmm, mem, crf简介
hmm:hidden markov model 隐马尔科夫模型
mem: maximum entropy model 最大熵模型
crf: conditional random field 条件随机场模型-hmm, mem, crf Profile hmm: hidden markov model mem: maximum entropy model model crf: conditional random field
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Size: 827392 |
Author: ly |
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Description: 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.)
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Size: 790528 |
Author: 费事起个名
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Description: 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)
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Size: 762880 |
Author: cphh1 |
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Description: 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)
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Size: 201728 |
Author: learnmatlab |
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