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maxent-20041229[1].win32
- 文本分析中基于统计的方法中,最为常用的最大熵算法,该源码为Python版,广泛应用于词性标注,词义消岐等领域-text analysis based on statistical methods, the most commonly used of maximum entropy algorithm, the source code for Python version, widely used in tagging, Meaning Consumers divergent fields
maxent
- 最大熵模型源代码，使用java编写，可以用来进行分类。-maximum entropy model source code, the use of java preparation, can be used for classification.
StanfordClassifier.tar
- 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.
YASMET
- YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och编写，一个简短但非常经典的最大熵统计模型实现源码。-YASMET : Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) by Franz Josef Och preparation, a brief but very classic maximu
amis-2.95
- Amis - A maximum entropy estimator 一个最大熵模型统计工具，采用特征进行模型构建-Amis-A maximum entropy estimator a maximum entropy model statistical tools used for model building features
MaxEntModel
- 最大熵模型与自然语言处理方面非常好的介绍-Maximum entropy model and natural language processing aspects of a very good introduction
lzhang10-maxent-a139430.tar
- 基于最大熵原则利用样本信息生成概率估计 张乐博士 东北大学-Dr. Zhang Yue Northeastern University sample information generated probability estimates based on the principle of maximum entropy
amis-4.0.tar
- 基于最大熵开发的程序，能很好的解决分类问题，运行与linux下，可以直接调用-Based on Maximum Entropy developed procedures that can solve classification problems, running with linux, you can directly call
zuidashanruanjian
- 最大熵软件包用于中文信息处理可以用来分类-Maximum entropy package for Chinese information processing can be used to Categories
Chinese-phrase-structure-recognition
- 基于最大熵的汉语短语结构识别方法，来自计算机工程-自然语言处理方面，写得挺不错的-Chinese phrase structure recognition method based on maximum entropy, from the Computer Engineering- Natural Language Processing, write quite well.
ApEn
- This program calculates Approximate Entropy of a given time series.
maxent
- 运用最大熵对一个文本中的类进行训练模型，然后可用模型进行预测，结果返回类名，是机器学习语言的重要部分，支持汉字分类-Use of maximum entropy of a text in class training model, the model can then be used to predict the results returned class name is an important part of machine learning languages, support for
acopost_note
- acopost是Ingo Schroder于02年在德国汉堡大学完成的一个词性标注工具包。主要实现了基于实例、最大熵、2元隐马、基于转换规则等4种词性标注算法，以及评价和算法融合等。采用的语言是perl和c，代码比较短小，非常适于学习。-acopost Ingo Schroder is a speech in 2002 at the University of Hamburg, Germany marked the completion of the toolkit. The main achi