machinelearing | 大规模专利分类是一个很具有代表性的模式分类 问题 , 它具有目前超大规模复杂模式分类问题的
kandi X-RAY | machinelearing Summary
kandi X-RAY | machinelearing Summary
machinelearing is a C++ library. machinelearing has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
大规模专利分类是一个很具有代表性的模式分类 问题,它具有目前超大规模复杂模式分类问题的 全部特征。本作业要解决的是一个专利分类最顶层( SECTION层)的两类分类问题,它是大规模日文 专利数据集的一个子集。选择该问题的目的是希望通过求解该问题,让同 学们加深对并行机器学习、并行程序设计和大规 模数据挖掘的理解,培养大家的工程实践能力, 了解已有方法和技术的局限性,为未来的理论研 究和技术开发打下基础。. 在第二问中,我们已经成功的只做了多进程并行训练的程序,已经minmax 的预测程序。对于任务三而言,唯一的不同就是分类方案不同,然后直接调用第二问中的trainparallel 和minmaxPredict 函数就可以了。所以我们将这一问的分析重点放在如何分解样本上。. ##拓展部分 结合第三第四次作业的情况,我们把第三第四次作业中的LMS 和perceptron 方法拿过来制作自己的分类器。由于这个试验中我们使用了线性的划分方法,所以事实上对于MLP 是没有必要的。.
大规模专利分类是一个很具有代表性的模式分类 问题,它具有目前超大规模复杂模式分类问题的 全部特征。本作业要解决的是一个专利分类最顶层( SECTION层)的两类分类问题,它是大规模日文 专利数据集的一个子集。选择该问题的目的是希望通过求解该问题,让同 学们加深对并行机器学习、并行程序设计和大规 模数据挖掘的理解,培养大家的工程实践能力, 了解已有方法和技术的局限性,为未来的理论研 究和技术开发打下基础。. 在第二问中,我们已经成功的只做了多进程并行训练的程序,已经minmax 的预测程序。对于任务三而言,唯一的不同就是分类方案不同,然后直接调用第二问中的trainparallel 和minmaxPredict 函数就可以了。所以我们将这一问的分析重点放在如何分解样本上。. ##拓展部分 结合第三第四次作业的情况,我们把第三第四次作业中的LMS 和perceptron 方法拿过来制作自己的分类器。由于这个试验中我们使用了线性的划分方法,所以事实上对于MLP 是没有必要的。.
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machinelearing has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
machinelearing has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of machinelearing is current.
Quality
machinelearing has no bugs reported.
Security
machinelearing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
machinelearing does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
machinelearing releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of machinelearing
machinelearing Key Features
No Key Features are available at this moment for machinelearing.
machinelearing Examples and Code Snippets
No Code Snippets are available at this moment for machinelearing.
Community Discussions
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Vulnerabilities
No vulnerabilities reported
Install machinelearing
You can download it from GitHub.
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