搜索资源列表
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
Classification
- VC++中实现K近邻分类方法，实验数据是著名的iris数据库，此方法是数据挖掘，机器学习，人工智能等课程中重要的分类算法。-K-nearest neighbor classification VC++, experimental data is the famous iris databases, data mining, machine learning, artificial intelligence courses classification algorithm.
liblinear-1.7
- 用于解决机器学习中分类问题，里面包含python，matlab和octave的接口及示例。-LIBLINEAR is a simple package for solving large-scale regularized linear classification.
Automatic-People-Counting-
- 提出了智能视频监控中基于机器学习的自动人数统计系统。。该系统通过机器学习的方法对视频序列中人的头肩部位进行准确地检测。克服了传统检测方法如连通域分析和简单模板匹配的不足。-Automatic people counting system based on machine learning in intelligent video surveillance. . The system through machine learning methods to accurately detect the
Renforce
- 强化学习的MATLAB简单实例程序，供机器学习的初学者参考使用。-Reinforcement Learning simple instance of MATLAB program for machine learning beginners use and reference.
DesicionTree
- 机器学习中利用信息熵进行决策树的自动学习-Disicion Tree of Machine Learining
NeuralNetwork
- 机器学习中利用反向传播算法进行人工神经网络的学习-Using back-propagation algorithm of artificial neural network learning
OpenCv-machine-learning-document
- 介绍了在opencv里机器学习方法的实现，比较好的中文文档说明介绍，机器学习可以应用于图像处理中-In opencv machine learning methods to achieve better Chinese document explains the introduction of machine learning can be applied to image processing
c-mean
- c-means，算法实现，适合学习机器学习的初学者，非常不错-C-means, algorithm, suitable for machine learning for beginners, very good
max-min
- max-min聚类算法实现，机器学习方面的经典算法，值得一看-Realization of max-min clustering algorithm, classical machine learning algorithms, worth a visit
machine-learning-of-Chinese-Version
- 机器学习(Machine Learning)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。-machine learning is a cross course of many fields,simulate and implement
homework1
- octive 斯坦福大学公开课 机器学习公开课作业1-octive machine learning publicly Homework1
kmeans
- matlab机器学习中用于聚类，适用于样本数量相对较少的情况。-matlab machine learning for clustering, applies to a relatively small number of samples.
neural-machine-learning
- 神经网络机器学习第三版书籍源码，Final Program after-Chapters，非常好的自学资料-Neural network machine learning third edition book source, Final Program after-Chapters, a very good self-study materials
RandomForest
- ID3决策树+随机森林算法生成决策森林，采用投票机制进行决策；有训练数据aaa和测试数据bbb；非常适合机器学习的初学者-The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data the the aaa and test data bbb ideal for machine learning beginners
Mathematical-modeling
- 主要是基于matlab编程的机器学习的各种算法的实现，对补补基础很好-Matlab programming machine learning algorithm, Bubu basis of good
canonical-correlation-analysis
- 这是机器学习的一个典型的算法-典型相关性分析-This is a typical machine learning algorithms- canonical correlation analysis
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
gda
- gda 基于高斯判别分析的高光谱地物分类 属于机器学习范畴-the gda hyperspectral terrain classification based on Gaussian discriminant analysis is a machine learning areas
GeneticAlgorithm
- 遗传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出，其主要特点是直接对结构对象进行操作，不存在求导和函数连续性的限定；具有内在的隐并行性和更好的全局寻优能力；采用概率化的寻优方法，能自动获取和指导优化的搜索空间，自适应地调整搜索方向，不需要确定的规则。遗传算法的这些性质，已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算