multi-label 多标签 ; 多标记 ; 一个文本可以属于多类
Multi-Label Classification 多标签分类
multi-label learning 多标记学习
multi-instance multi-label learning 多示例多标记学习
multi-label classification problem 多标记分类问题
Multi-protocol Label Switching 多协议标签交换 ; 多协议标记交换
multi label algorithm 多标号算法
multi-label algorithm 多标号算法
Multi-Label Routing mechanism 多标记路由机制
Real-world text documents usually belong to multiple classes simultaneously, and therefore, using multi-label learning technique to classify text documents is an important research direction.
真实世界的文档往往同时属于多个类别,因此,利用多标记学习技术进行文档分类是一个重要的研究方向。
For this multi-label collisions problem, this paper focuses on describing two kinds of main label anti-collision algorithm based on TDMA, ALOHA algorithm and binary tree.
针对多标签的碰撞问题,本文重点介绍和讨论基于TDMA的两类主流的标签防碰撞算法:基于ALOHA的标签防碰撞算法和基于二进制树的标签防碰撞算法。
Multi-label learning is a common problem in real application. Covering algorithm performs well with single-label learning but can not deal with multi-label learning.
多标记学习是实际应用中的一类常见问题,覆盖算法在单标记学习中表现出了优秀的性能,但无法处理多标记情况。
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