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- 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
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
lpr-system
- 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。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, t
mPID
- PID神经元网络解耦控制算法，多变量系统控制，包含主程序，测试集-PID neural network decoupling control algorithm, multivariable control system
BPAdaboost
- BPAdaboost，包括主程序，测试集-BPAdaboost, including the main program, test sets, etc.
beiyesifenleiqi
- 模式识别，用贝叶斯手写数字识别。有训练集合测试集。-Pattern recognition, Bayesian handwritten numeral recognition. There are training set test set.
KNN
- 自己编写的最近邻KNN算法，采用的距离是欧氏距离，附加了详细的中文注释，还有一个测试集和一个训练集- I have written KNN nearest neighbor algorithm, the distance is the Euclidean distance, additional detailed notes in Chinese, as well as a test set and a training set
MIT_persons_jpg
- MIT行人数据库，共924张行人图片，原来是PPM格式，很多人找不到转换工具，这里已转换成JPG。该数据库只含正面和背面两个视角，无负样本，未区分训练集和测试集。-MIT pedestrian dataset of JPG format, for pedestrian detection application.
KL_DM_BPtest
- 本程序是一个数据分类的程序，首先使用KL变换对数据进行降维和去噪，然后用BP神经网络对预处理过后的数据进行分类，并且留有部分的测试集-This program is a data classification program, the first to use KL transform data dimensionality reduction and de-noising, then BP neural network to classify the data after preprocess
rec
- Java实现将movielens各种规模数据的划分为测试集和训练集-Split movielens dataset to trainset and test set
bpNeuralNetwork
- BP神经网络C++代码简单实现，包括测试集-BP neural network C++ code is simple to achieve
svm
- 用matlab编写的SVM模型，用于进行植物分类，包括主程序、训练集和测试集。-Using matlab SVM model, used for plant taxonomy, including the main program, the training and test sets.
Naive_Bayesian_classify_version
- 朴素贝耶稣算法进行文本分类，删除“无用词”，对训练集训练之后完成对测试集的测试，并输出测试集文档属于哪个分类-Tony simple algorithm for text classification Jesus, delete " without words" , after training set for the completion of the test set of tests and test sets the output document belongs Cat
4.2
- 用人工神经网络拟合函数 说明：1）网络结构为三层（输入层、1个隐层和输出层） 2）获取两组数据，一组作为训练集，一组作为测试集 3）用训练集训练网络 4）用测试集检验训练结果-ANN fit function: 1) the network structure is three (input layer, a hidden layer and output layer) 2) to obtain two sets of data, one group as the