搜索资源列表
stprtool_20130925
- 经典机器学习算法的matlab工具箱，十分实用-Classical machine learning algorithm toolbox, very practical
SVDFeature
- 自己开发的一个机器学习算法，整合了监督学习，非监督学习-A machine learning algorithm own development, integration of supervised learning, unsupervised learning
MedSTC-2norm-win
- 机器学习,监督学习，无监督学习，统计方法，包含机器学习算法。-computer learning
metamophic-testing
- 介绍蜕变测试的方法。蜕变测试是针对机器学习算法的测试方法，文中讲述了如何针对这类非传统算法进行测试。-metamophic testing method
pythonsrc
- 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
kjinlin
- K最近邻(k-Nearest Neighbour，KNN)分类算法，是一个理论上比较成熟的方法，也是最简单的机器学习算法之一。该方法的思路是：如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别，则该样本也属于这个类别。-K neighbor algorithm
LMNN
- 大间隔最近邻居（Large margin nearest neighbor (LMNN)）分类算法是统计学的一种机器学习算法。该算法是在k近邻分类其中学习一种欧式距离度量函数。-Spaced nearest neighbor (Large margin nearest neighbor (LMNN)) classification algorithm is a statistical machine learning algorithms. The algorithm is learning a
kNN
- 一个用matlab实现的kNN机器学习算法，都是我自己写的，绝对原创-A machine learning algorithm using kNN matlab realize, is I wrote it myself, absolutely original
Fisher-Score
- 机器学习算法， 使用Fisher score进行特征选择。-Machine learning algorithms, feature selection using Fisher score.
src
- 机器学习算法-随机森林的java实现，可以作为入门使用-Machine learning algorithms- random forests to achieve the java can be used as entry
jbrt-master
- 机器学习算法中的迭代决策树算法，是一种用途非常广泛的多决策树算法，可以有效的解决问题-Machine learning algorithms in iterative decision tree algorithm, is a very versatile multi-tree algorithm can effectively solve the problem
java_gbdt-master
- 机器学习算法-GBDT算法，也被称作GBRT算法，常用于各种分类和预测问题，能够取得不错的结果--GBDT Algorithm machine learning algorithm, also known as the GBDT algorithm, commonly used in a variety of classification and prediction problems, able to achieve good results
mlclass-ex4-jin
- 机器学习算法实现，神经网络，包括说明文档，实验数据以及源代码-Neural Networks Learning
awesome-machine-learning-master
- 机器学习算法，实习得非常好，值得学习，很不错-machine learning
Fisher
- 一种机器学习算法,用Fisher线性判别算法来进行分类-Machine Learning Algrithm
machine-learning-matlab-master
- 一种机器学习算法的工具箱，常用的聚类SVM等等都有-A machine learning algorithm toolbox
spark-logisticregression-and-softmax
- spark平台上的机器学习算法，包括分类、回归以及矩阵相乘的并行实现-Machine learning algorithms spark platforms, including classification, regression and parallel implementation of matrix multiplication
Mechine_Learning
- 该功能包含决策树、随机森林、SVM机器学习算法，并在VS环境下实现并测试。-This function contains the decision tree, random forests, SVM machine learning algorithms, and implement and test in VS environment.
GBDT
- 话题一：大规模机器学习算法GBDT及应用，PPT详解-Topic 1: large-scale GBDT, and application of machine learning algorithm, PPT, rounding
JIQIXUEXISUANFA
- 主要讲述的机器学习算法一览表，即机器学习常用算法。-Focuses on the list of machine learning algorithm, namely the machine learning algorithms.