Coursera公开课笔记: 斯坦福大学机器学习第... ... Simplified cost function and gradient descent(简化版代价函数及梯度下降算法) Advanced optimization(其他优化算法) Multi-class classification: One-vs-all(多类分类问题) ...
基于3个网页-相关网页
... Examples and intuitions I (例子和直观解释一) Examples and intuitions II (例子和直观解释二) Multi-class classification (多类分类问题) ...
基于2个网页-相关网页
多个类别的分类问题时 multi-class problems
For the multi-class classification problem, one-to-one Categories designed classifier was used.
针对于多类分类问题,采用一对一的分类方法设计分类器。
参考来源 - 基于FSVM的高光谱遥感影像分类算法研究This paper describes the use of the newgenetic study algorithm——Genetic Programming to solve multi-classification problems,by making a bit tentative improvement in the algorithm.
本文将新的遗传学习算法——遗传规划(Genetic Programming)用于多类分类问题中，对其算法进行了尝试性地改进。
参考来源 - 基于遗传规划的多类分类技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
SVM只能解决二类样本问题，无法解决实际情况中的多类分类问题。
SVM can only deal with the two-sample problem and can do nothing for the multi-classification problem.
新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。
The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.
P 300字符拼写的实质是一个多类识别问题，主要包括三个环节：预处理、特征提取、识别分类。
P300 speller paradigm is actually a multi-class recognition problem, mainly including preprocessing, feature extraction and recognition classification.
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