多标记

设计新的多标记REAL学习框架。

Design of a multi-label learning REAL framework .

在这个学习框架中，我们阐述了设计思想，改进了已有的多标记学习方法，并对CHD，Medical，Enron和Scene四个数据进行了实验对比。

In the process , we elaborate design concept , improve several existing multi-label learning methods and make experiments with CHD , Medical , Enron and Scene datasets .

陆地棉多标记基因系SSR分析

Analysis of SSR on Tow Multiple-marker Lines in Upland Cotton

应用单克隆抗体ABC法、PAP法、酶组化等多标记方法研究白血病和淋巴瘤。

ABC , PAP and enzyme - histochemical studies of leukemia and lymphoma were done .

中文信息MMT模型中多标记集合的运算方法

The Calculation Method of Multi-mark Set in the MMT Model of Chinese Information

本文还讨论了MCAb和多标记研究在白血病、淋巴瘤的免疫分型、鉴别诊断的意义。

The significances in immuno-typing and differential diagnosis of leukemia and lymphoma by McAb and multi-marked methods are discussed .

本文综述了多标记分析和多QTL定位的压缩估计方法。

In this article , shrinkage estimation method for multiple-marker analysis and for mapping multiple quantitative trait loci ( QTL ) was reviewed .

从DNA快速提取到PCR扩增和产物检测以及多标记组合鉴定等环节进行分析探讨，初步制定了一套适于棉花耐盐性分子鉴定的方法，即多标记组合鉴定法。

A new preliminary methods , called SSR multi-markers salinity-identification method , was initially established to identify salinity-tolerance of cotton by the standardization of the whole process of DNA extraction , PCR amplification , amplification products detecting , and marker-combination .

分别利用形态生态、血液蛋白酶、微卫星DNA及其多标记合并资料分析不同生态类型下的我国4个地方绵羊品种的遗传分化关系，以探讨不同来源的标记资料的遗传检测效率。

The data obtained from morphology and ecology , blood protein and enzyme , microsatellite DNA and their combination were used respectively to study the genetic differentiation of 4 local China sheep breed under different ecological type , and the detection efficiency of the different original data were also discussed .

通过CIM检测到的104个QTL中，有37个QTL可在两个以上的环境下检测到，70个可由MIM同时检测到，43个由多标记联合分析法同时检测到。

Of the total 104 QTL detected by CIM , 37 can be detected in more than 2 environments , 70 were also identified by MIM , and 43 were detected simultaneously by multi-marker joint analysis .

在图像的GVF场上检测出流场节点，以节点为种子，采用多标记快速扫描法获得一个初始分割，采用区域合并得到最终分割结果。

It detects nodes of GVF field , sets the nodes as seeds , acquires an initial segmentation by multiple-label fast sweeping method , and uses a region merging to get the segmentation result .

基于IP/MPLS的多标记最小干涉路由算法

A Routing Algorithm of Multi-Label Mini-Interference Based on IP / MPLS Network

基于多标记的移动数据库同步复制技术研究

The Research of Synchronization Copy Mechanism Base on Multi-tag in Mobile Database

利用多标记联合分析法对农艺性状进行了位点与环境的上位性互作分析。

Interaction between loci and environment for agronomic traits were analyzed using multi-marker joint analysis method .

为此提出一种概念间关联依赖多标记视频语义概念分类方法。

An inter-concepts association and dependency multilabel video semantic concept classification approach is proposed in this paper .

根据多标记传播聚类算法的需要，构造了一种适用于该算法的数据预处理过程。

According to requirements of Multi-marker Propagation Clustering Algorithm ( MPCA ), a suitable data preprocessing for MPCA is constructed .

本文对多标记学习中的样本集分解和算法改造两种策略进行了研究，针对多标记学习的特点和评价指标，探讨如何使用覆盖算法来解决多标记问题。

This dissertation researches the decomposing of sample set and algorithm improvement , and explores applying covering algorithm to multi-label learning .

由于多标记学习中对训练数据的标记需要更多的人力和物力，因此数据集中的已标记样本数量一般较少。

Since more efforts are required to label the multi-label training data , generally much data in training set is not labeled .

对与晚疫病水平抗性显著相关标记的辅助选择结果分析发现，多标记的选择效率优于单标记的选择。

Analysis of molecular marker-assistant selection confirmed that the efficiency of selection by multi-markers is higher than that of selection by single marker .

实验结果表明，对真实媒体数据本文方法比现有多标记分类方法更能有效进行分类。

Experiments on real-world multi-label media data show that this method the methods beat accuracy of existing multi-label learning methods with statistically significant improvements .

所以，为了有效地去除与标记集不相关的或者冗余的特征，提高分类精度，特征降维技术又成为了改善多标记学习方法的新的研究热点。

At the result , the Feature Dimension Reduction becomes the hot issue to effectively remove some irrelevant and redundant features in multi-label learning research .

实验表明，多标记覆盖算法的性能达到了同类算法中的先进水平，并且在时空开销上具有优势。

Experiments show that multi-label covering algorithm performs at par with other multi-label learning algorithms and has the advantage of lower time / space cost .

在多标记分类中，存在所有标记都为零的情况，意味着这个文本丢失了，本文针对这个问题，提出零标记修正算法。

There is a situation that all the labels of a text are zero , that means the text is lost . This article presents zero label modification algorithm for this situation .

在多标记辅助选择时，各个标记都选用正效应的状态（标记出现或缺失）所得到的标记组合将可选得性状平均值最大的入选群体。

The marker combination with each marker in its higher trait value marker class appeared to be best choice for multiple marker assisted selection , since it led to highest mean trait value of the selected population .

多标记分类及其应用是当前机器学习和数据挖掘领域的热点问题，其中多标记维度约减和多标记集成分类是非常值得研究和探讨的两个方向。

Multi-label classification and its widespread applications have been currently heated research issues in the field of machine learning and data mining , among of which multi-label dimensionality reduction and multi-label ensemble classification are both two problems much worthy of being studied .

新一代Internet中的多协议标记交换

Multi-protocol Label Switching in New Generation Internet

多协议标记交换&多媒体远程教育IP网络的核心技术

Multi-Protocol Label Switching & The Core Technology of Multimedia Distance Education IP Network

多协议标记交换的IPQOS分析

Multiprotocol label switching QoS in IP analysis

多协议标记交换（MPLS）是实现宽带Internet的一种新兴的网络技术。

MPLS ( multiprotocol label switching ) is a new network technology addressing broadband Internet .

大标记&无效的XML消息可能包含非常长的元素名称或非常多的标记。

MegaTags & Otherwise valid XML messages containing excessively long element names , or an excessive number of tags .