期刊浏览 关键词: 多标签；多协议；TRF7960；RFID；读写器 [gap=710]Key words: Multi-label; multi-protocol; TRF7960; RFID; reader
基于54个网页-相关网页
...关键词】： 访问页面 用户分类 多标记 支持向量机 [gap=713]Key words】：visited pages; user classification; multi-label; Support Vector Machine ...
基于32个网页-相关网页
... 2类问题,属于或不属于(binary) 一个文本可以属于多类(multi-label) 垃圾邮件的判定(spam or not spam) ...
基于6个网页-相关网页
Multi-Label Classification 多标签分类
multi-label learning 多标记学习
Ming Multi-label Data 挖掘多标签数据
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 ; 标签交换
multi label 多标号
multi label algorithm 多标号算法
Aiming at the problems that active learning in multi-label classification is slowly, this paper proposes an improved method for multi-label classification which based on average expectation margin.
针对多标签主动学习速度较慢的问题，提出一种基于平均期望间隔的多标签分类的主动学习方法。
参考来源 - 基于平均期望间隔的多标签分类主动学习方法·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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。
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。
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