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xuexi10
- 欢迎使用网页设计 在线学习系统 本系统主要特点如下: 1.本系统采用学号加密码登录，可接受外部注册。 2.教学内容模块可由教师后台管理。 3.保存学生学习进度。 4.多种交互方式。 5.提供在线考试模块，同时能够进行补考，成绩查询等功能。 6.网页设计教学内容部分精心挑选，并进行了较好的分类。 本系统运行环境 windows 98 +PWS windows 2000+IIS windows XP+IIS 最佳分辨率:1024*768 要
RBF_sourcecode
- RBF学习方法，包括了：k-means、梯度、OLS三种方法。-RBF learning methods, including: k-means, gradient, OLS three types.
mlclass-ex3
- 多分类学习及神经网络，机器学习相关，基于matlab计算-ex3.m- Octave scr ipt that will help step you through part 1 ex3 nn.m- Octave scr ipt that will help step you through part 2 ex3data1.mat- Training set of hand-written digits ex3weights.mat- Initial weights for the
demo.py
- word2vec生成词向量空间，为后续操作做准备，例如做分类学习，聚类学习，等对各种机器学习的方法做铺垫-Word2vec generate word vector space, for the preparation of follow-up operations, such as learning to do classification, clustering learning, and so on a variety of machine learning methods pave th
XQDA
- 用于度量学习，可以用于特征分类，最常应用于行人重识别的研究过程(For metric learning, it can be used in feature classification, and is most often used in the research process of pedestrian re identification)
tglvm
- 利用tglvm算法对两类结果实施迁移学习分类，分类正确率达90%以上；(Tglvm algorithm is applied to classify the two kinds of results, and the correct rate of classification is more than 90%;)
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
v3qianyi
- 利用Google inception V3 实现迁移学习 进行图像分类(Using Google, inception, V3 to achieve migration learning, image classification)
elm
- 极限学习机，分类和回归，有程序，数据和相关案例(ultimate learning machine classification and regression, procedures, data, and examples.)
elm
- 超限学习机，用于回归和分类，数据集可以更改。(Regression and classification)
A novel electronic nose
- 讲述主动学习算法在电子算进行模式分类方面的应用(Describes the application of active learning algorithms to pattern classification in electronic computing)
3.贝叶斯分类器
- 贝叶斯定理是用数学的方法来解释生活中大家都知道的常识，而机器学习使用的各种算法中，最常见的就是贝叶斯定理。此代码为贝叶斯分类python代码，包含高斯贝叶斯分类器，多项式贝叶斯分类器和伯努利贝叶斯分类器，并有具体的数据例子进行仿真比较(Bias's theorem is a mathematical way to explain all the common sense in life, and machine learning using various algorithms, the mos
BIRCH算法
- 机器学习用分类的一种算法，用C语言实现，比较成熟的一种算法的。(An algorithm for classification of machine learning, implemented in C language)
K均值分类
- 监督分类学习代码，k-均值，希望学习者能用到。谢谢。(The classification code, k- mean, hope that learners can use. Thank you)
BP神经网络的数据分类-语音特征信号分类
- bp网络用于数据分类，一类语音特征信号的分类，以供参考学习(BP network is used for data classification, and a class of speech feature signals is classified for reference learning)
无导师学习神经网络的分类——矿井突水水源判别
- matlab智能算法 无导师学习神经网络的分类 矿井突水水源判别(Matlab intelligent algorithm Classification of non tutor learning neural network identification of water inrush water source in mine)
RBF学习算法
- 该文件主要是在Matlab条件下开发的RBF算法，主要用于机器视觉学习分类(This file is mainly a RBF algorithm developed under the condition of Matlab, which is mainly used for machine vision learning classification.)
SVM机器学习算法
- 该文件主要包含了Matlab条件下开发的SVM算法，该算法主要用于机器视觉的学习与分类(The file mainly includes the SVM algorithm developed under the Matlab condition, which is mainly used for learning and classification of machine vision.)
基于极限学习机ELM的数据分类
- 针对数据分类问题，提出了基于极限学习机的分类方法，将数据样本分为训练样本和测试样本，并采用准确率指标进行评价。(Aiming at the problem of data classification, a classification method based on extreme learning machine is proposed. The data samples are divided into training samples and test samples, and the
UCI经典二分类数据集
- UCI经典二分类数据集，可借助R或python进行分析学习(UCI Classic Bicategorized Data Set, which can be analyzed and learned by R or Python)