搜索资源列表
k-MEANS算法
- K-means算法 机器学习
SVMLight_vc
- 机器学习文本分类的SVM算法实现，VC++ 6.0环境下编译-A SVM algorithm for text classification in machine learning, and compiled under the Visual C++ 6.0 environment.
dtsl_pass
- 自主式决策树学习的程序源码，对研究机器学习的同行很有用。-Autonomous Decision Tree learning procedures source, the study machine learning peer useful.
machie_study
- 机器学习及人工智能中的多层感机的算法，可识别复杂的二维点阵图形，在实际的模式识别中很有参考价值。-Machine study for arithmetic multi-layer perceptron, it can recognize 2D dot matric graph, it is a good reference for pattern recognition
ga_and_hopfield
- 机器学习及神经网络的算法，具体解决经典的HOPFIELD模型，在TSP问题中可以加速解的收和快速求解。-arithmetic for machine learning and neural net,mostly for HOPFIELD modal of TSP problem
alemoNEW
- 机器学习课要求编写3*3棋盘对弈程序。 该程序中一个对弈者通过神经网络方式实现 另一个通过机器学习的方式加以改进-3*3 chessboard vs program.One player is implement by neural net ,the other is implement by machine learning.
SVMcode
- 这是一个采用c++编写的用于机器学习文本分类的SVM算法的实现代码。-c prepared using machine learning for text classification of SVM codes.
svm_learn
- 机器学习方法支持向量机SVM源程序，vc-Machine learning method support vector machine SVM source, vc
TextCat
- knn和Native Bayes算法实现,两个实现在一起,是数据挖掘和机器学习中的内容.-KNN and Native Bayes algorithm, the two to achieve together, is data mining and machine learning content.
libsvm
- 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世，libsvm和svmlight是常用的两种SVM实现方法。-SVM is a commonly used pattern classification machine learning algorithm, to high accuracy and efficient world-famous, libsvm and svmlight is commonly used t
kernel
- 用VC++编写的若干个机器学习中的核函数-With VC++ Prepared a number of machine learning in the kernel function
TextCat
- 【机器学习】文本分类源代码 【机器学习】文本分类源代码 -] [Machine learning text classification source code] [machine learning text classification source code
libadaboost-0.1.beta
- 机器学习的自适应提升（adaboost）算法包，提供了学习boosting算法的通用框架，包括：学习、验证、测试、性能分析等 -Machine learning to enhance the adaptive (adaboost) algorithm package, boosting learning algorithm provides a generic fr a mework, including: learning, vali
svmclass
- 采用经典的机器学习分类算法SVM，对训练样本进行训练和学习，来实现对预定目标的分类。-Using the classic machine learning classification algorithm SVM, the training samples for training and study to achieve the intended target of the classification.
Cluster
- 聚类算法的源码，主要用于无指导方式下的机器学习-Cluster Algorithm source code
FuzzyNNClassifier
- 模糊K近邻分类器，模式识别和机器学习经常要使用的一个分类器-K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier
机器学习，最近邻算法KNN
- machine learning，机器学习算法 KNN算法，最近邻算法 python代码与数据
机器学习梯度下降
- 机器学习监督学习算法，梯度下降、批梯度下降(Machine learning supervised learning algorithms, gradient descent, batch gradient descent.)
机器学习个人笔记完整版2.5
- 机器学习的笔记整理版本，有助于初学者学习机器学习(Machine learning notes collation version, help beginners learn machine learning)
模式u识别与机器学习
- 有关机器学习的视频资料，适用于初学者学习(About machine learning video data, suitable for beginners to learn)