搜索资源列表
data_mining
- 数据挖掘实用机器学习算法及相关技术——原书第2版-Data Mining Practical machine learning algorithms and related technologies- the original 2
MATLABS-SVC--CODE
- 支持向量机的MATLAB代码,包括分类与回归,可帮助学习机器学习算法-MATLAB S SVC DODE
machine_learning
- 机器学习weka包源代码,实现了各种机器学习算法-Weka machine learning package source code, to achieve a variety of machine learning algorithms
C
- K最近邻(K-Nearest Neighbor,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。-K nearest neighbor (K-Nearest Neighbor, KNN) classification algorithm, is a more mature approach in theory is the simplest machine learning algorithms.
libsvm-3.1
- 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。 这个是台湾林智仁写的,有各种语言版本-SVM is a common pattern classification machine learning algorithm, known to high accuracy, high efficiency, libsvm and svmlight are two commonly used SVM implementation
machine-learning-courses_stanford
- 斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。-The notes of Machine learning courses in Stanford University。
new
- 机器学习算法决策树是基于机器学习的数据挖掘技术,它形式简单,分类速度快,无需先验知识,对样本分布也无要求且由决策树表达的规则直观清晰。-machine learning decision Tree
111
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. -C4.5algorithm is a kind of machine learning algorithm of decision tree classification algorithm, the algorithm is the core of ID3 algorithm.
AdaBoostToolbox_v0.4
- 机器学习算法adaboost的一个新版本,相比以前的0.3版,修正了几个BUG。-A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.
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.
top10-data-mining-algorithm
- 国际上公认的十大机器学习算法,这些是自己翻译的-10 machine learning algorithms, the internationally recognized these own translation
DecisionTree
- ID3 人工智能,机器学习算法,自动生成决策树-ID3 artificial intelligence, machine learning algorithms, automatically generate decision trees
RVM2
- 基于稀疏贝叶斯框架的机器学习算法,能有效用于回归和分类预测,具有较强的泛化性-Machine learning algorithm based on sparse Bayesian framework, can effectively be used for regression and classification forecast has good generalization
tianqingqing
- 基于反馈的潜在缺陷模块序列,比较Ssadp与四个机器学习算法以及代码行升序模型这些基准模型的预测性能-Forecast performance based on the potential defects feedback module sequence comparison Ssadp baseline model with four machine learning algorithms, and the lines of code in ascending model
用matlab实现谱聚类算法
- 用于数据挖掘学习,matlab实现机器学习领域的谱聚类算法。提供详细的代码。
Apriori算法java实现
- 机器学习中用于频繁模式挖掘的经典Apriori算法,java实现。本资源提供完整的代码,无bug可运行。
JAVADIGGER
- DIGGER社交网络数据挖掘分析系统,本系统的挖掘工作是在WEKA平台下进行的,WEKA作为一个公开的数据挖掘工作平台,集合了大量能承担数据挖掘任务的机器学习算法,包括对数据进行预处理,分类,回归、聚类、关联规则以及在新的交互式界面上的可视化。DIGGER作为一个社交网络系统,它利用数据挖掘工具WEKA在大规模海量数据中建立模型和发现数据间关系,这些模型和关系可以用来做出决策和预测。 第一章描述了开题的背景和需求,第二章描述该系统的关键技术和开发环境,第三章是系统的设计,第四章对框架的研究
machine-learning-1
- 机器学习算法之adaboost算法与apriori算法,经典的外文资料。-Machine learning algorithms with the adaboost algorithm apriori algorithm, classic foreign materials.
machine-learning-2
- 机器学习算法之C4.5与CART,经典的机器学习的外文资料,该资料描述详细,便于大家的学习。-The machine learning algorithm C4.5 and CART, the classical machine learning foreign language information, the information described in detail, easy to learn from everyone.