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条件随机场用于NLP中命名实体，组块分析。-CRF++ is a simple, customizable, and 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
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conditional random fields
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Pocket CRF is a toolbox for Conditional Random Fields
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Kevin Murphy的条件随机场matlab和c++混合代码，包含chains, trees and general graphs includes BP code。-This package is a set of Matlab functions for chain-structured conditional random fields (CRFs) with categorical features. The code implements decoding (with the Vi
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CRF ++是一个简单的，可定制的，条件随机域（控释肥）分割/标记顺序数据的开源实现。 CRF ++是专为通用的目的，将被应用到各种各样的NLP任务，如命名实体识别，信息提取和文本组块。-CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. CRF++ is design
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机器学习和数据挖掘：本文件包含两个算法分别是随机梯度下降算法和平均随机梯度下降算法应用于支持向量机和条件随机域的问题中。-Two algorithms, SGD and ASGD, are applied to well konw problems, linear support vector machines and conditional random fields.
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针对各种机器学习，深度学习领域的一个matlab工具包-A machine learning library focused on deep learning.Following algorithms and models are provided along with some static utility classes:
- Naive Bayes, Linear Regression, Logistic Regression, Softmax Regression, Linear S
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