搜索资源列表
CRFPP-0.58
- 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
lda-c-dist
- lda贝叶斯文本分类器，c语言实现 linux运行环境-lda Bayesian text classifier, c language runtime environment linux
marathi_char_rec
- This is a neural network based marathi character recognition system. Run directly OCR_ANN.m file. and then a GUI will open. Add the template file first for training. Once the excel file is taught, the GUI can recognise the text from scanned images. T
1
- Design a neural network （BP） to fit one of the functions. The text includes analysis and results.-Design a neural network （BP） to fit one of the functions. The text includes analysis and results.
wenbenfenlei
- 朴素贝叶斯文本分类法以及SVM文本分类法的源码和说明文档。-Naive Bayesian text classification and SVM text classification method source code and documentation.
AlgorithmKNN
- knn算法实现，在给定新文本后，考虑在训练文本集中与该新文本距离最近（最相似）的 K 篇文本，根据这 K 篇文本所属的类别判定新文本所属的类别。-knn algorithm, given the new text, considering the text focused on the training of the new text with the closest (most similar) K-chapter text, according to the text of this art
naivebeys
- 朴素贝叶斯实现文本的正负趋向性分析，使用python编的，可以通过编绎，很方便。-Naive Bayes text of the positive and negative trend analysis, using python compiled by unravel, very convenient.
Particle-swarm-algorithm-
- 粒子群算法的基本介绍的word文档，该文件和普通的文字介绍不同，它是通过一个图形例子，很形象地描述粒子群算法的内涵。文件后有代码。非常适合初学者，帮助快速理解-The basic particle swarm algorithm is introduced, and the file and ordinary text introduces different, it is through a graphic example, very vividly describes the connota
NB
- 自己编写的朴素贝叶斯分类器，经实测效果不错，供文本分类的研究人员相互学习-I have written a naive Bayes classifier, measured results are good for text classification researchers learn from each other
AP-Cluster
- AP聚类算法的C++代码实现，其中数据是文本读入iris数据，P值选取欧式矩阵最小值。显示结果为聚类后结果-AP clustering algorithm C++ code, in which data is read into the text iris data, P values selected European matrix minimum. Showing results clustering results after
java_stopword_code
- Java 数据挖掘进行文本预处理的一步，除去文本中包含的停用词-Java Data Mining for text preprocessing step to remove the text contains the word disabled
TextExtract
- * 在线性时间内抽取主题类（新闻、博客等）网页的正文。 * 采用了<b>基于行块分布函数</b>的方法，为保持通用性没有针对特定网站编写规则。-Web text extraction code,* in linear time extract topic class (news, blogs, etc.) the body of the page. * using the < b > </b > line based on block
GPS-cycle-slip-processing
- GPS L1,L2双拼周跳探测与修复，包含几种常用的实时探测算法，附有GUI界面-A MATLAB software package for GPS cycle-slip processing is presented in this paper. It realizes cycle-slip detection and repair in the measurement domain for GPS L1 and L2 signals. The software implement
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- 最小二乘法方程及生成曲线图像(VB6.0代码)-text recognation software using neural network algorithm in vb 6
20news_sample_noseed
- 文本分类算法，讲数据集20newsgroup分类。可自定义形式-Text classification algorithms, speaking dataset 20newsgroup classification. Customizable forms
Machine-Learning-in-Action
- machine learning电子版文档全文-machine learning electronic version of the text of the document
TCA-AAAI2012-version2.0
- 首先从一个源域中获得标记文本数据，然后对目标域自动训练文本分类器从而实现跨域的文本分类-automatically train a precise text classifier for a target domain by using labeled text data from a related source domain.
kmeans
- 使用数据挖掘中的k-means算法实现文本的分类-Using data mining k-means algorithm text classification
nsga2
- NSGA2编程和所有测试数据集，分为初始化、选择、非支配解选择，交叉变异-nsga2 results and some text sets
svm
- 支持向量机，用于文本分类，这个工具包是分两类所用的-Support vector machine for text classification, this toolkit is divided into two categories used