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Description: 支持向量机，利用matlab语言实现，很简单，以word的形式给出
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Size: 4765 |
Author: Zechao Li |
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Description: 算法SVM,该算法主要用于数据挖掘领域.-SVM algorithm, the algorithm used mainly for data mining areas.
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Size: 4580 |
Author: 许朝 |
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Description: 算法SVM,该算法主要用于数据挖掘领域.-SVM algorithm, the algorithm used mainly for data mining areas.
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Size: 4096 |
Author: 许朝 |
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Description: svm文本分类改进,关键词抽取（Keywords Extraction）指的是如何从一篇文档（或多篇相关文档）中自动抽取出能很好地代表文档主题的若干个词或短语。-Improvement of SVM text classification, keyword extraction (Keywords Extraction) refers to how a document (or more related documents) automatically extracted to represent the theme of a number of documents a word or phrase.
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Size: 169984 |
Author: tanyingwei |
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Description: 这是一个讲解机器学习与SVM的课件，讲的深入浅出，非常不错。-err
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Size: 841728 |
Author: paul |
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Description: svm(支持向量机)分类算法本质上是二类分类器，实现多类分类的方法一般是将多类分类看作是多个一对多的二类分类器。本程序就是基于svmlight的svm多类分类器实现。对分类感兴趣的用户请参照。配合中文分词（参见我上传的程序），可实现中文多类分本分类。-svm (support vector machine) classification algorithm is essentially a second-class classifier, multi-category classification methods in general is to multiclass classification is more than one-to-many as second-class classifier. This procedure is based on many types of svmlight of SVM classifiers to achieve. Classification please refer to interested users. With the Chinese word segmentation (see my uploaded program), can be realized at the Chinese multi-category classification.
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Size: 566272 |
Author: maming |
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Description: 支持向量机，利用matlab语言实现，很简单，以word的形式给出-Support Vector Machines, using matlab language is very simple to give the form of word
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Size: 4096 |
Author: Zechao Li |
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Description: 利用贝叶斯分类原理实现多义词的消歧。首先利用训练语料进行训练，然后基于机器已经获取的知识的基础上对生语料进行词义标注。-Realize the principle of the use of Bayesian classification polysemous word sense disambiguation. First of all, the use of training corpus for training, and then the machine has been based on knowledge gained on the basis of corpus for semantic tagging of Health.
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Size: 3308544 |
Author: 雷 |
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Description: 支持向量机(SVM)的SMO算法实现。包括matlab源代码文件、支持向量机的pdf文档，源代码word文档。-Support Vector Machine (SVM) algorithm of SMO. Including the matlab source code files, Support Vector Machines pdf documents, source code for word documents.
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Size: 787456 |
Author: Xiaojun Tang |
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Description: 基于opencv的支持向量基（SVM）的代码，利用SVM解决2维空间向量的3级分类问题。-Opencv-based support vector machine (SVM) of the code, the use of SVM to solve 2-dimensional vector space of three classifications.
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Size: 17408 |
Author: liutao |
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Description: 超级好的SVM入门材料，建议初学者阅读。摘自blog-very good meterial about SVM,strongly recommend green-man to read
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Size: 318464 |
Author: 朱文杰 |
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Description: 支持向量机SVM入门学习资料，是word版的，学习SVM的同志一定要看！-Introduction to support vector machine SVM learning materials is a version of the word to learn SVM' s comrades must see!
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Size: 257024 |
Author: 刘红 |
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Description: 一种简单的可视化SVM软件,里面有一个word文档，就是软件使用说明。-A simple visual SVM software, which has a word document, that is, the software instructions.
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Size: 188416 |
Author: 何同学 |
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Description: 支持向量机(Surpport Vector Machines)SVM详细的word文档，包括有详细的数学公式-Support vector machine (Surpport Vector Machines) SVM detailed word document, including detailed mathematical formula
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Size: 26624 |
Author: whnmyt |
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Description: SVM支持向量机，利用matlab语言实现，很简单，以word的形式给出--SVM support vector machine, using matlab language is very simple to word given in the form-
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Size: 5120 |
Author: myzone |
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Description: 利用SVM算法来进行中文文本的分类，如一句话里有各种词性的词语则可以进行分类处理-Using SVM algorithm for Chinese text categorization, such as a word in a variety of terms can be part of speech classification
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Size: 378880 |
Author: 王寅 |
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Description: OpenCV机器学习SVM支持向量机的分类程序
word格式-OpenCV machine learning support vector machine SVM classification procedure word format
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Size: 19456 |
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Description: 图像的特征用到了Dense Sift，通过Bag of Words词袋模型进行描述，当然一般来说是用训练集的来构建词典，因为我们还没有测试集呢。虽然测试集是你拿来测试的，但是实际应用中谁知道测试的图片是啥，所以构建BoW词典我这里也只用训练集。
其实BoW的思想很简单，虽然很多人也问过我，但是只要理解了如何构建词典以及如何将图像映射到词典维上去就行了，面试中也经常问到我这个问题，不知道你们都怎么用生动形象的语言来描述这个问题？
用BoW描述完图像之后，指的是将训练集以及测试集的图像都用BoW模型描述了，就可以用SVM训练分类模型进行分类了。
在这里除了用SVM的RBF核，还自己定义了一种核： histogram intersection kernel，直方图正交核。因为很多论文说这个核好，并且实验结果很显然。能从理论上证明一下么？通过自定义核也可以了解怎么使用自定义核来用SVM进行分类。-Image features used in a Dense Sift, by the Bag of Words bag model to describe the word, of course, the training set is generally used to build the dictionary, because we do not test set. Although the test set is used as the test you, but who knows the practical application of the test image is valid, so I am here to build BoW dictionary only the training set.
In fact, BoW idea is very simple, although many people have asked me, but as long as you understand how to build a dictionary and how to image map to the dictionary D up on the line, and interviews are often asked me this question, do not know you all how to use vivid language to describe this problem?
After complete description of the image with BoW, refers to the training set and test set of images are described with the BoW model, the training of SVM classification model can be classified.
Apart from having to use the RBF kernel SVM, but also their own definition of a nuclear: histogram intersection kernel, histogram
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Size: 3585024 |
Author: lipiji |
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Description: used to check whether the given string is anagram or not.In order to get a new phrase or word by rearranging the words
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Size: 24576 |
Author: |
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Description: 对四分类图像，使用两个提取特征值向量的方法来提取特征，然后使用SVM进行分类识别，里边包含了LIBSVM进行识别时各个参数的变化时的对结果的影响。里面包含完整源代码，在word里。是我的数字图像作业。-Four categories of images, using two feature extraction methods to extract the value of feature vectors, and then use SVM classification and recognition, inside contains the results of the impact of changes in various parameters to identify when the time LIBSVM. Which contains the complete source code, in the Word.
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Size: 99328 |
Author: 时局 |
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