搜索资源列表
svm_light_windows
- 一个SVM训练工具，能够快速对训练集训练，给出分类判别函数。-a training tool, the rapid training of the training set, the classification given discriminant function.
算 法 设 计 题 集
- ACM中常用的算法思想与常用算法,是本人自己精心收集的,其中含清华ACM训练时候的笔迹,对ACM的人员是极佳的参考资料-ACM commonly used algorithm commonly used algorithms and thinking, is my own collection of carefully, with Tsinghua ACM training when the handwriting on the staff ACM is an excellent referen
speakerprotected1
- 国际上最新的说话人识别算法的源程序，包含了训练集和测试集-latest international speaker identification algorithm source code includes the training set and test set
SVM--SVM
- 支持向量机，用于分类，含训练集与测试集。里面含有六个源程序-support vector machines for the classification, with the training set and test sets. It contains six source
vc34733555
- 进行汉字,字符,数字识别,有预先的训练集一开始载入,然后通过一遍遍的学习,达到识别的功能-for Chinese characters, characters, digital identification, and pre-training set included a start, and then repeatedly through the study, to achieve the function
Wordsegmentation2
- NLP技术实现，对语料库进行自动统计生成分词词典，对训练集进行分词，列出所有的分词可能并计算每种可能的概率。请使用者自行加入语料库和测试集。-NLP technology to automatically Corpus Health Statistics ingredients dictionary, the training set for segmentation, list all the sub-term may calculate the probability of each pos
faceimagesbyrf
- 从老外文章里看到一种基于分类器的人脸检测方法，好不容易搞到这个人脸图像训练集和测试集，现在贡献出来，希望对做人脸检测的朋友有帮助（图像比较全，有彩色人脸图像）-from generals saw an article based on the classification of face detection method finally got the facial image training set and test set, now contribute, hope to the huma
邻法实现图像识别
- 用ｋ近邻法实现图像识别，程序比简单，需要训练集
Bagging
- 分类算法，采用bagging方法来选择训练集，《机器学习及java实现》里面的
C4.5
- C4.5算法有如下优点：产生的分类规则易于理解，准确率较高。其缺点是：在构造树的过程中，需要对数据集进行多次的顺序扫描和排序，因而导致算法的低效。此外，C4.5只适合于能够驻留于内存的数据集，当训练集大得无法在内存容纳时程序无法运行。
MyProject
- 文本分类,使用贝叶斯分类系统,训练集和测试集
titaniccsv
- 数据挖掘训练集 泰坦尼克 kaggle 训练集 超级好用(train datasettrain he world had witnessed a titanic struggle between two visions of the future)
zifenlei
- 从MATLAB中产生数据，数据分成训练集和测试集，并对数据进行分类训练。(Data is generated from MATLAB, the data is divided into training sets and test sets, and data is classified and trained.)
AdaBoost算法
- 用matlab软件，实现adaboost算法。将数据集划分为训练集和测试集，给训练集的数据贴标签，用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data i
SVM
- 采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)
树叶分类器数据代码集
- 机器学习之树叶分类器数据代码集 训练集与其他(the language is python. shuye fenleiqi shuju daima ji)
人头训练正负样本数据集
- 用来训练人头识别模型的正负样本数据集，正样本数据已经resize化。(The positive and negative sample data set is used to train the head recognition model, and the positive sample data has been resize.)
北京市三甲医院基本数据（未精校）
- 训练数据集，包含各种三家医院，可以自己再筛选一下(Training data set, including a variety of three hospitals, you can filter yourself)
语言训练模型
- 贝叶斯语言训练模型，自带训练集进行实验，python代码
脑电信号数据集
- 里面有一种脑电信号数据集，且分为训练集和测试集，格式为mat格式，可以直接用来Matlab的使用。