搜索资源列表
FisherLDA
- Fisher线性判定函数,输入训练集及测试集,输出错误率和线性判别函数。-The Fisher Linear determine the function, enter the training set and test set, the output error rate and linear discriminant function.
DecisionTree-(2)
- 决策树,根据训练集的分类结果预测测试集的分类结果,在计算机视觉和模式识别中很有用-Decision tree , test set according to the classification results of the training set, is very useful in computer vision and pattern recognition
computer-vision
- 立体视觉相关资源、源码、测试集网站信息,立体视频及相关代码-Computer Vision
UserCF
- 用C++实现的基于用户的协同过滤算法,包含训练集、测试集-Achieved with C++ user-based collaborative filtering algorithms, including training set, test set
DecisionTree
- 该资源是决策树算法。从“样本特征说明”读取属性,从“样本数据”读取各属性值。 依次取20 —80 (每次递增10 )的样本作为训练集,剩余样本作为测试集测试。-This resource is about decision tree algorithm. The attributes and values can be read by the code from the two txt files. Each time choose a portion of all the data (20
gmm3
- 使用GMM算法对文本特征进行分类,内涵训练集与测试集可以直接使用-Using the GMM algorithm to classify text features, content training set and test set can be used directly
numaProgram.tar
- 本程序是用在研究numa架构时用到的测试程序,通过本测试集,可以帮助研究数据的局部性的研究人员更好的理解数据的局部性-This procedure is used locally in the study of architecture numa testing procedures used by the test set, the data locality can help researchers better understand the researchers data
bpsinx
- 采用bp神经网络对函数y=sin(x)进行训练,然后用测试集对训练的函数进行测试,也就是函数逼近sin(x)的曲线-Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve
lab2
- 输入: 输入包括多个测试集,每行为一个正奇数N(1 <= N < 10), 0作为输入的结束且不需要处理。 输出: 对于输入的每一个N, 输出一个它所对应的N阶幻方,如果存在多个, 任意一个即可。 Sample Input 1 3 0 Sample Output 1 4 9 2 3 5 7 8 1 6 -Input: The input includes multiple test sets, each one bein
bp_demo
- BP神经网络软件(BPGUI):支持手动输入数据和从外部导入数据两种方式;用户可以自定义训练集和测试集占全部数据的百分比,设定完成后,软件随机产生训练集和测试集;支持归一化和不归一化两种数据预处理方式;用户可以自定义网络的结构参数和训练参数;具有绘图功能,可以对比测试集的真实值与预测值;支持网络及数据的保存;具有菜单选项,用户可以通过菜单执行相应的操作;具有右键功能,用户可以通过右键快速执行相应的操作;-The BP neural network software (BPGUI) : suppo
magic_square_matrix
- 输入: 输入包括多个测试集,每行为一个正奇数N(1 <= N < 10), 0作为输入的结束且不需要处理。 输出: 对于输入的每一个N, 输出一个它所对应的N阶幻方,如果存在多个, 任意一个即可。 Sample Input 1 3 0 Sample Output 1 4 9 2 3 5 7 8 1 6 -Input: Input includes multiple test sets, ev
Desktop
- 给出一段汉语文章,根据训练集,将测试集进行分词。-Based on the maximum probability of Chinese segmentation
panda-face-recognition
- gui界面软件,可计算欧几里得距离识别大熊猫面部,具有大量测试集和训练集样本库-gui interface software to calculate the Euclidean distance identification panda face, with a large test set and the training set of sample library
owls-tc2_1
- 语义网编程时可以用到的测试集,服务分好多领域,内容很全面-Semantic Web programming can be used in the test set, the service of a lot of areas, the content is very comprehensive
semisup_rankboost
- 一种半监督的rankboost算法实现,有训练集,测试集,可以直接运行。-An rankboost semi-supervised algorithm implementation, there is a training set, the test set can be run directly.
x
- 半导体数据训练集和测试集用来检测故障,使用MATLAB编程对数据采集-Semiconductor data training and test sets used to detect faults, using MATLAB programming for data collection
aam_matlab
- 主动形状模型(active appearance model)的matlab代码 训练集和测试集需要从附带的网址上下载或者根据自己的需求构造-matlab code for active appearance model, the training and test sets could be downloaded the website in readme.txt or constructed by yourself according to your problem
stide_v1.2_and_traces
- 新墨西哥大学开发的最新版本的stide软件,用于短序列匹配,以及软件使用中用到的部分测试集-The latest version of the stide software developed by University of New Mexico, for short sequence matching, set part of the test used and software in use
IRIS-use-RFclassification
- 用随机森林RF方法分类IRIS数据集,用一百个数据做训练集,五十个作为测试集,并统计出错误率,可直接运行-Classification method with random forests RF IRIS data set, using one hundred data to do training set, and fifty as a test set, and the statistical error rate, can be directly run
PlateIdentify
- 车牌字符识别C++程序 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-C++ program license plate character recognition 1. Open a picture first and then follow the order of graying, binarizati