搜索资源列表
stprtool15aug08
- 统计模式识别算法包，包括线性分类算法，SVM，PCA，LDA，EM，k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
MIL-Ensemble
- This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
EM12suanfa
- 两个改进的EM算法，虽然比Matlab自带的运行速度慢，但更易理解算法的原理-Two improved EM algorithm, although more than Matlab s own slow, but easier to understand the principles of algorithm
mitmatlab
- 数据挖掘matlab源码，包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc..
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
PR_AI_code
- 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognitio
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现，但是不包含em算法在里面，但是有版权，注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
circleGS
- GS算法的matlab例子，本例子仿真了一个圆形的光环结构，其它的参数见matlab中的注释-GS algorithm matlab example, the example of simulation of a circular ring structure, and other parameters, see the Notes matlab
gafuzzymatlab
- 模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集 -Simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures simulated annealing, tabu search, genetic algorithm, neural network-MATLAB collection procedures
emc
- 此源码可用与隐马氏模型估计参数时的EM算法。此源码在C++中运行。-This source can be estimated with the Hidden Markov Model parameters of the EM algorithm. This source code in C++ in the running.
The_Status_Quo_of_Machine_Learning_of_Artificial_I
- 机器学习是人工智能的一个子领域，是人工智能中非常活跃且范围甚广的主要核心研究领域之一，也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果，主要关注于开发一些让计算机可以自动学习的技术，并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展，以及各种机器学习方法，包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等，并简单叙述了机器学习的相关算法，包括决策树算法、随机森林算
fanshuchongjian
- 此算法是CT中经典的EM算法，经过验证算法没有错误，能很好的运行。-CT in this algorithm is the classic EM algorithm, there is no proven algorithm error, can run very good.
GS
- 实现网格中含有依赖任务调度的GS算法，其中根据任务在各个机器上的执行时间和任务之间的依赖关系来计算出任务的调度顺序-The realization of the grid containing the GS-dependent task scheduling algorithm, in which the task in accordance with the implementation of the various machines on time and task-dependent re
08gmm
- GMM很好的理论资料,对高斯模型的详细描述以及EM算法的介绍。对编程有一定的帮助。-This is for the initial researcher to study about the GMM Model.
EM_baumWelch
- 采用Baum-Welch重估计算法对隐马尔科夫模型进行训练，使得结果达到最优化-Using Baum-Welch re-estimation algorithm for training hidden Markov models, making the results of optimized
EMsf
- 关于EM算法的详细介绍，可以帮助初学者深入理解EM的来源及使用方法。-A detailed descr iption on the EM algorithm that can help beginners in-depth understanding of the source and use of EM methods.
EM
- Deleted interpolation 算法， 综合了trigram, bigram, unigram 模型的一总简单的线性插值-deleted interpolation algorithm, mixed trigram, bigram, unigram model, and using simple linear interpolation
EMalgorithm
- 详细介绍了EM算法的推到及使用，是学习图像处理，图像分割的一篇经典。-Details of the EM algorithm is pushed to and use of learning image processing, image segmentation of a classic.