首页>
外国专利>
CLASSIFYING TEST DATA BASED ON A MAXIMUM MARGIN CLASSIFIER
CLASSIFYING TEST DATA BASED ON A MAXIMUM MARGIN CLASSIFIER
展开▼
机译:基于最大利润率分类器的测试数据分类
展开▼
页面导航
摘要
著录项
相似文献
摘要
Systems and methods for classifying test data based on maximum margin classifier are described. In one implementation, the method includes obtaining training data having a predefined sample size, wherein the training data is composed of separable datasets. For the training data, a Vapnik-Chervonenkis (VC) dimension for the training data is determined. For the VC dimension, an exact bound is subsequently determined. The exact bound may be minimized for obtaining the minimum VC classifier for predicting at least one class to which samples of the training data belong.
展开▼