censorwpc的博客

计算机视觉新版书Computer Vision has shown awesome progress in its short history. This is part due to technology: computers are much faster and memory is now much cheaper than they were in the early days when Roy started his research. There have been many achievements and many developments. All of this can affect the evolution of a textbook. There have been excellent textbooks in the past, which were neither continued nor maintained. That has been avoided here as the textbook has continued to mature with the field and its many developments.

在机器学习中，支持向量机（英语：support vector machine，常简称為SVM，又名支持向量网络[1]）是在分类与迴歸分析 中分析数据的監督式學習模型与相关的学习算法。给定一组训练实例，每个训练实例被标记为属于两个类别中的一个或另 一个，SVM训练算法建立一个将新的实例分配给两个类别之一的模型，使其成为非概率二元线性分类器。SVM模型是将实 例表示为空间中的点，这样映射就使得单独类别的实例被尽可能宽的明显的间隔分开。然后，将新的实例映射到同一空 间，并基于它们落在间隔的哪一侧来预测所属类别。