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[MultiLanguageStanfordClassifier.tar

Description: Standord Classifier实现了一个基于Java的最大熵分类器。用于模式识别,特别是自然语言处理方面的应用。-Stanford Classifier achieved a Java-based Maximum Entropy classifier. For pattern recognition, especially natural language processing the application.
Platform: | Size: 235536 | Author: 王志强 | Hits:

[Other resourceme2svm

Description: 将最大熵的数据格式转为SVM分类器所需的数据格式-of maximum entropy data formats SVM classifier to the required data format
Platform: | Size: 18145 | Author: 赵京雷 | Hits:

[MultiLanguageStanfordClassifier.tar

Description: Standord Classifier实现了一个基于Java的最大熵分类器。用于模式识别,特别是自然语言处理方面的应用。-Stanford Classifier achieved a Java-based Maximum Entropy classifier. For pattern recognition, especially natural language processing the application.
Platform: | Size: 235520 | Author: 王志强 | Hits:

[AI-NN-PRme2svm

Description: 将最大熵的数据格式转为SVM分类器所需的数据格式-of maximum entropy data formats SVM classifier to the required data format
Platform: | Size: 2323456 | Author: 赵京雷 | Hits:

[AI-NN-PRmaxent-2.5.1

Description: 最大熵分类器,实现对文本的分类,很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
Platform: | Size: 1267712 | Author: candy | Hits:

[Search EngineJTextPro-1.0.tar

Description: JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker
Platform: | Size: 21430272 | Author: lgp | Hits:

[AI-NN-PRstanford-classifier-2012-03-09

Description: 这是Stanford Classifier ,最大熵模型,多分类,这也是Stanford EventParser中缺失的代码-This is Stanford Classifier, maximum entropy model, multi-class, which is the missing code Stanford EventParser
Platform: | Size: 4102144 | Author: 张建海 | Hits:

[Software EngineeringMaximum-Entropy

Description: In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or classifier dependencies in electronic technology. Previous transductive learning strategies have several drawbacks, e.g., feasibility of the constraints was not guaranteed and heuristic learning was applied. We overcome these problems by developing improved iterative scaling (IIS) algorithm for optimal solution. This method is shown to achieve improved decision accuracy over the earlier approaches in electronic technology
Platform: | Size: 157696 | Author: yangs | Hits:

[OthermaxEntropy

Description: 我的功能主要是中文最大熵分类器。包括源代码,师兄的各种注释。讲解(My main function is a maximum entropy classifier in Chinese.Including source code, brother of all kinds of comments.)
Platform: | Size: 1258496 | Author: zenRRan | Hits:

[Othermaxent

Description: 最大熵分类器,用于分类,速度快,效果好,真的很好用(Maximum entropy classifier for classification)
Platform: | Size: 1220608 | Author: angelhood | Hits:

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