首页>
外国专利>
SYSTEM FOR TRAINING CLASSIFIERS IN MULTIPLE CATEGORIES THROUGH ACTIVE LEARNING
SYSTEM FOR TRAINING CLASSIFIERS IN MULTIPLE CATEGORIES THROUGH ACTIVE LEARNING
展开▼
机译:通过主动学习在多个类别中对分类器进行培训的系统
展开▼
页面导航
摘要
著录项
相似文献
摘要
A system for training classifiers in multiple categories through an active learning system, including a computer having a memory and a processor, the processor programmed to: train an initial set of m binary one-versus-all classifiers, one for each category in a taxonomy, on a labeled dataset of examples stored in a database coupled with the computer; uniformly sample up to a predetermined large number of examples from a second, larger dataset of unlabeled examples stored in a database coupled with the computer; order the sampled unlabeled examples in order of informativeness for each classifier; determine a minimum subset of the unlabeled examples that are most informative for a maximum number of the classifiers to form an active set for learning; and use editorially-labeled versions of the examples of the active set to re-train the classifiers, thereby improving the accuracy of at least some of the classifiers.
展开▼