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产生随机数并运算的程序b0b
- 本程序需在DOS下运行。每运行一次可执行程序random.exe，即可显示任意两个 16进制数的加法或减法表达式及其运算结果。在减法运算中，如果被减数小于减数，显示 “Divide Overflow”的提示信息。-the process required under the DOS operating. Every time running executable random.exe can display any number of two 16-band addition or subtr
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 fields. CRF CRF is the realization
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 fields. CRF CRF is the realization
FlexCRFs-0.3
- Hieu Xuan Phan & Minh Le Nguyen 利用CRF统计模型写的可用于英文命名实体识别、英文分词的工具（开放源码）。CRF模型最早由Lafferty提出，全名conditional random fields，该模型后来被广泛地应用在语言和图像处理领域，并随之出现了很多的变体。FlexCRF就是对CRF模型的一个实现应用工具，可用于文本信息处理
personNER
- 基于CRF（conditional random fields)统计模型的文本人名识别工具源代码，是Mallet开放源码项目的一部分-based on CRF (conditional random fields) statistical model of text my name recognition tools source code, open source Mallet is part of the project
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。
CRFhelp
- crf(condintional random fields)简介 用音字转换实例来介绍crf模型
random_walker_matlab_code
- The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
suijixuanti
- 随机选题软件，用于智力竞赛等活动，可以自行输入题库，设定答题时间，设定背景等。-Random selection software for activities such as quiz, you can enter your own questions, answer set time, set the background.
crfsuite-0.8
- CRFsuite is a very fast implmentation of the Conditional Random Fields (CRF) algorithm. It handles tens of thousands sentences in merely one second. In comparison to CRF++, CRFSuite yields substantially better efficiency performance
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 variety of NLP tasks, such as N
An_Introduction_to_Conditional_Random_Fields_for_R
- 说明： 基于条件随机场模型的经典理论介绍，广泛应用于命名实体识别，实体关系识别领域。-Note: Based on Conditional Random Fields model describes the classical theory is widely used in named entity recognition, entity-relationship identification field.
Automatic_Entity_Relation_Extraction_Based_on_Cond
- 说明：基于条件随机场模型的实体关系识别，内含条件随机场的理论介绍以及该理论应用于实体关系识别的实验及实验分析 -Note: Based on Conditional Random Fields model entity-relationship recognition, implied condition of the theoretical descr iption with the airport, as well as the theory is applied to entity-r
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
PJ
- 个人期末Project，中文信息处理，可生成同风格随机歌词-One final Project, Chinese information processing, can be generated with the random style of lyrics
CRFPP-0.54
- CRF，是一种判别式图模型，因为其强大的表达能力和出色的性能，得到了广泛的应用-Conditional random fields
Improved_SMCPHD
- 该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。-The algorithm the basic idea is to use a set of random sample with the corresponding weight n
CRFPP-0.53-
- CRF++-0.53,条件随机场命名实体识别，0.53版本，顺利通过测试运行--0.53 CRF, conditional random field named entity recognition, 0.53 version, successfully passed the test run