搜索资源列表
AdaBoost
- Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。-Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to f
multiverso-master
- Multiverso is a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces. With such easy-to-use APIs, m
lingoCluster
- 用于自然语言处理中的Lingo聚类算法，是carrot2开源搜索中的核心代码。由波兰学者Osinski编写-For natural language processing Lingo clustering algorithm, is carrot2 open source search in the core code. Prepared by the Polish scholar Osinski
DBScan03
- DBScan算法实现，用Java高级编程语言正确实现DBSCAN算法，DBScan是一种基于密度的聚类算法，它有一个核心点的概念：如果一个点，在距它e的范围内有不少于MinP个点，则该点就是核心点。核心和它e范围内的邻居形成一个簇。在一个簇内如果出现多个点都是核心点，则以这些核心点为中心的簇要合并。最终输出找到的簇及其数据点。-DBScan algorithm, using high-level programming language Java is implemented correctly
Apriori
- Apriori算法是一种最有影响的挖掘布尔关联规则频繁项集的算法。其核心是基于两阶段频集思想的递推算法。- Apriori algorithm is one of the most influential mining Boolean association rules frequent itemsets algorithm. Its core is based on a two-stage frequency set recursive algorithm thought.
SVM-introduction
- SVM浓缩讲稿，精简地介绍了svm的基本概念和理论，有助于新手理解和学习。-SVM speech introduces the basic principles and core concepts SVM to help the novice to learn and understand.
simpleMKL
- 多核学习之simpleMKL工具箱，里面包含了simpleMKL算法和MKL-wrapper算法，其中原始工具箱中MKL-wrapper不能运行，此处已进行了修正。-Multi-core learning simpleMKL toolbox, containing the simpleMKL algorithm and MKL- wrapper algorithm, the original toolbox MKL- wrapper can not run, has been revised.
SILPMKL
- 用于回归的多核学习之MKL-wrapper算法程序，编写语言为python，运行环境为linux。-For multi-core the MKL- wrapper of learning algorithm of regression procedure, is the written language python, running environment for Linux.
9719785
- Core War 这是我给他命的名, 形容起来比较复杂, 玩一下就知道了 P()