搜索资源列表
SVM
- SVM算法的matlab语言实现，很详细的代码-SVM algorithm matlab language, the code in great detail
transductive-SVM
- 对直推式支持向量机的较为经典的介绍，包含一些直推式学习的思想，算法-Direct Push on Support Vector Machine, introduced a more classic, contains a number of Direct Push the idea of learning, algorithm
algorithms
- 我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
cao
- 利用SVM算法来进行中文文本分类像百度一样提取关键字，把一句话里的如动词、名词、形容词...分类出来-Using SVM algorithm for Chinese text categorization, like extracting keywords as Baidu, the sentence in the verbs, nouns, adjectives ... Sort out
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
svm 入侵检测-1
- 模式识别中的入侵检测算法1，不错的内容啦-pattern recognition of an intrusion detection algorithm, as well--
svm
- 支撑向量机的函数，可以用于识别、分类和分割，是很好的分类算法-Support Vector Machines function, can be used for identification, classification and segmentation, is a good classification algorithm
svm-scale
- 支持向量机算法，主要是针对大规模对象进行处理-Support vector machine is targeted mainly at dealing with large-scale objects
svm-train
- 支持向量机算法训练部分，主要是针对大规模对象进行训练-Support Vector Machine training component, is mainly directed against the target of large-scale training
svm-predict
- 支持向量机算法预测部分，主要是针对大规模对象进行预测-Support Vector Machine forecast, mainly for large-scale objects to predict
svm
- 支持向量机算法java编程，主要用于识别-Support Vector Machine java programming, mainly used for identification
ddsvm
- SVM算法dd,来自国外做数据挖掘和文本分类的-SVM algorithm dd, from abroad to do data mining and text classification
ASurveyAlgorithms
- 英文、English、SVM算法的分析、对SVM进一步分析、适合有一定SVM基础。-English, English, SVM algorithm analysis of SVM further analysis, the basis for a certain SVM.
SVMcanshuxuanqu
- 这是两篇非常好的讲怎么样对SVM的参数优化，可以从中学习进而对SVM算法改进-This is two very good speakers on how to optimize the SVM parameters, you can learn and thus improve the SVM algorithm
mySVM
- SVM 算法的基本实现,做向量机的参考资料-image Process by SVM
SVM
- 支持向量机(SVM)用于分类的算法实现-svm
20090501SleepingKoala
- 所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
osu-svm-3.0
- svm3.0 用于svm算法（支持向量机）程序可直接调用，matlab语言-svm3.0 algorithm for svm (support vector machine) can directly call the procedure, matlab language
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算