Search - MATLAB WEB

Search - MATLAB WEB - List

[AI-NN-PR] LibSvmUsing(lib)SVMTutorial DL : 0: 我一直覺得 SVM 是個很有趣的東西，不過也一直沒辦法 (mostly 衝堂) 去聽林智仁老師的 Data mining 跟 SVM 的課；後來看了一些網路上的文件跟聽 kcwu 講了一下 libsvm 的用法後，就想整理一下，算是對於並不需要知道完整 SVM 理論的人提供使用 libsvm 的入門。-I always think that SVM is a very interesting thing, however, has been no way to (mostly red hall) to listen to the teacher Lin Zhiren Data mining with SVM class was reading some documents on the web to listen to kcwu talked about with the usage of libsvm later, wanted to tidy up can be considered for the SVM does not need to know the complete theory of entry to provide the use of libsvm.
Date : 2026-01-10 Size : 24kb User : Alec
[AI-NN-PR] matlab-konwledge DL : 0: 这些都是从各个网站获得的一些关于遗传算法的MATLAB方面的知识，希望能帮助大家，也希望大家能互相交流学习。-These are some from the web site for about genetic algorithm knowledge of the MATLAB, the hope can help everyone, also hope you will be able to exchange learning.
Date : 2026-01-10 Size : 1.81mb User : 程杰
[AI-NN-PR] matlab DL : 0: 这些都是从各个网站获得的一些关于遗传算法的MATLAB方面的知识，希望能帮助大家，也希望大家能互相交流学习。-These are some from the web site for about genetic algorithm knowledge of the MATLAB, the hope can help everyone, also hope you will be able to exchange learning.
Date : 2026-01-10 Size : 171kb User : 程杰
[AI-NN-PR] plate-location DL : 0: 用来定位车牌，分割车牌。从老外网上搜的，matlab版本。 -Web search from the foreigner' s, matlab version.
Date : 2026-01-10 Size : 3kb User : chioptical
[AI-NN-PR] MLkNN DL : 0: ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, maximum a posteriori (MAP) principle is utilized to determine the label set for the unseen instance. Experiments on three different real-world multi-label learning problems, i.e. Yeast gene functional analysis, natural scene classification and automatic web page categorization, show that ML-KNN achieves superior performance to some well-established multi-label learning algorithms. 2007 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.)
Date : 2026-01-10 Size : 5kb User : 玖
[AI-NN-PR] libsvm-weights-3.22 DL : 0: libsvm是支持向量机的工具箱，可在matlab和python上运行； libsvm 3.22应该是截止2017年11月16日的最新版本；网上有详细的配置说明，并不复杂。(libsvm is a support vector machine toolkit that runs on matlab and python; libsvm 3.22 should be the latest version as of November 16, 2017; detailed configuration instructions on the web are not complicated.)
Date : 2026-01-10 Size : 474kb User : YFC