搜索资源列表
jiqixuexi
- 机器学习的10大经典算法（决策树算法、ID3算法、k均值算法等等）-10 classic algorithms in machine learning
k-nn
- k最近邻 分类 机器学习 模式识别 人工智能 小程序-KNN classification machine learning Pattern recognition artificial intelligence Small program
SVM
- 可以实现SVM支持向量机算法，可以用于机器学习问题。-SVM support vector machine algorithm, can be used to machine learning problems.
Astar
- A*算法的设计与实现，适合人工智能，机器学习的学生使用-A* algorithm design and implementation, suitable for artificial intelligence, machine learning, students use
Alice
- 人工智能机器人alice的java版源代码，采用java+xml的模式，可以轻松的自行扩展，打造属于自己的机器人，实现人机对话，有学习功能-Alice artificial intelligence robot' s version of java source code, mode of java+xml, can be easily self-expansion, and build their own robot with the machine learning
WEKA-EDU
- Weka的全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一款免费的，非商业化（与之对应的是SPSS公司商业数据挖掘产品--Clementine ）的，基于JAVA环境下开源的机器学习（machine learning）以及数据挖掘（data minining）软件。它和它的源代码可在其官方网站下载。有趣的是，该软件的缩写WEKA也是New Zealand独有的一种鸟名，而Weka的主要开发者同时恰好来自New Zealand的
data-mining-technology
- 数据挖掘是知识发现过程的一个基本步 骤。KDD是一门交叉学科，它涉及统计学、数据库技术、计算机科学、模式识别、人工智能、机器学习等多个学科。 -Data mining is a fundamental step in the knowledge discovery process. KDD is an interdisciplinary, it involves statistics, database technology, computer science, pattern reco
ml3
- machine learning neural network
1
- SVM分类器，可用于人脸识别，机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc.
Optimization
- machine learning-optimiztion
density
- machine learning-Density Estimation objects. parzen - Parzen s windows kernel density estimator indep - Density estimator which assumes feature independence bayes - Classifer based on density estimation for each class gauss - Normal distr
Intrusion-Detection
- The problem of intrusion detection has been studied and received a lot of attention in machine learning and data mining in the literature survey. The existing techniques are not effective to improve the classification accuracy and to reduce high
CART
- 机械学习CART的方法的描述，在机械学习中起到了重要的作用。-It is about the CART of machine learning.It is the important of method
Rgcfe
- 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。 -The genetic algorithm referred to as GA (Genetic Algorithm), is essent
Aada_20--1d
- Adaboost ，一个非常受欢迎的机器学习算法法。用MATLAB实现。,可以直接使用。 -Adaboost, a very popular machine learning algorithm method. With MATLAB. Can be used directly.
SlibbsvmmV
- SVM是一种常用的模式分类机器学习算法，以效率高准确度高闻名于于世，libsvm与svmlight是常用的两种SVM实现方法。 -SVM is a common pattern classification machine learning algorithms, high efficiency and high accurate well-known in the world, the libsvm archive. And svmlight two SVM method.
libsvm-3.11
- libsvm svm算法实现，Chih-Chung Chang and Chih-Jen Lin Department of Computer Science National Taiwan University, Taipei, Taiwan。有java版本、c++版本-libsvm machine learning
mssb
- 模式识别的核方法，很好的模式识别机器学习入门资料-Nuclear pattern recognition method, a good pattern recognition machine learning introductory information
Support-vector-machine-
- 利用谱聚类方法在特 征向量空间中对原始样本数据进行重新表述使得在新表述中同一聚类中的样本能够更好地积聚在一起构建聚类核函数 并进而构造聚类核半监督支持向量机 使样本更好地满足半监督学习必须遵循的聚类假设 -Restated in the new formulation in the same cluster sample be better able to accumulate together to build the clustering of nuclear function and
based-on-random-walk
- 随机游走在计算机学科的信息检索领域已经得到了成功的应用，现在正被 越来越多地应用到机器学习和数据挖掘等领域。在此背景下，我们提出图上的 随机游走学习，创造性地将随机游走作为一项基本技术，用于改善传统的有监 督学习，半监督学习和无监督学习中的困难问题-Random walk has been successfully applied in computer science, information retrieval, is now being increasingly applied