搜索资源列表
bayes_bpnet
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。我们采用两种训练方法,即 L-M 优化算法(trainlm)
BPbeyes
- 基于BP算法的贝叶斯网络参数学习, 实现了图形话的节点表示和样本生成, 图形话的结果分析
naivebayesclassificationbasedongenetic
- 在训练集上通过随机属性选取生成若干属性子集,并以这些子集构建相应的贝叶斯分类器,进而采用遗传算法进行优选。
image-segmentation
- 介绍有关图像分割算法的文章,PDF文档的,水平集,贝叶斯等。
Bayes.rar
- 使用Iris数据集,朴素贝叶斯分类算法。,The use of Iris data set, Naive Bayes classification algorithm.
Naive_Bayes.rar
- 实现基本的朴素贝叶斯分类算法,用以将图片按照一定要求分类,To achieve the basic Naive Bayesian classification algorithm for the image classification in accordance with certain requirements
Example4
- 采用贝叶斯正则化算法(抑制过拟合)提高 BP 网络的推广能力,采用两种训练方法, 即 L-M 优化算法(trainlm)和贝叶斯正则化算法(trainbr),用以训练 BP 网络;-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
naiveBayesClassify
- 机器学习算法,朴素贝叶斯分类器,常用作文本分类,或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
Bayes-Matting
- 抠图中最为经典和基本的算法贝叶斯抠图,在matlab下的实现,效果和速度都较为理想。-Bayessian Matting is the most basic and classic method in matting algorithm.We provide a implementation in matlab.
LM
- 采用贝叶斯正则化算法提高bp网络的性能,即L-M优化算法-The use of Bayesian regularization algorithm to improve network performance bp, that is, LM optimization algorithm
bys
- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中,将采用两种训练方法,即L-M优化算法(trainlm)和贝叶斯正则化算法(trainbr),用以训练BP网络,使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
Games
- Bayes分类器——算法设计 1. 使用决策树(Decision tree)分类算法、朴素贝叶斯(Naï ve Bayes)算法或者K-近邻(kNN)算法(三者任选其一)对给定的训练数据集构造分类器,并在测试数据集上进行分类预测。 2. 数据集描述: Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
machineLearningPPT
- 机器学习,完整PPT资料从引言到神经网络,贝叶斯学习,遗传算法等-machine learning PPT,bayesian learning, neural network and genetic algorithm
Bayers
- 用matlab编写的贝叶斯分类器算法程序,共两个文件,经验证算法有效,希望对使用者有帮助-Matlab prepared bayes classification algorithm procedures, a total of two files, experience card is efficient, hope to help users。
bayes_total
- 最小错误概率贝叶斯分类器的matlab程序,可用于二维数据的分类以及分类效果的图像显示,可帮助初学者加深对贝叶斯分类算法的理解。-This is a matlab program of the minimum probability of error of Bayesian classifier.Which can display the image of two-dimensional data classification and the classification results . I
supplementaryFigures
- 叙述了多种matting算法 包括贝叶斯 泊松 closed-form spectral matting等-Described a variety of matting algorithm including the Bayesian Poisson closed-form spectral matting on, etc.
BayesTree_0.2-0
- 为一个贝叶斯分类的学习算法实现,是基于linux系统下的c++实现-As a Bayesian classifier learning algorithm is based on linux systems c++ Achieve
Video_Image_Segmentation_Based
- 为了对光线变化的图像进行顺利侵害,提出了一 种利用贝叶斯学习方法来进行视频图像分割的算法,印先在每个像素点处对不断变化的背景建模,同时计算每个像素点 处的颜色直方图,再用这些直方图来表示该像素点处特征向量的概率分布,然后用贝叶斯学习方法来进行判断,以确定在光线缓慢或者突然变化的时候,每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
reinforcement
- 贝叶斯学习与强化学习结合技术的研 详细介绍了强化学习的算法和理论-Bayesian learning and reinforcement learning combined with the technical details of the study of reinforcement learning algorithms and theory
bp.example
- 采用动量梯度下降算法训练BP网络,采用两种训练方法,即 L-M 优化算法(trainlm)和贝叶斯正则化算法(trainbr),用以训练 BP 网络-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t