multiclass
英
美
网络 多类; 兼职; 多级
双语例句
- Determination of Multiclass Drug Residues in Animal Muscle Tissues by High Performance Liquid Chromatography with Fluorescence and Ultraviolet Detection
高效液相色谱-荧光-紫外法测定动物肌肉组织中多类药物残留 - A multiclass classification method of SVM is applied to lake water quality assessment.
利用支持向量机多类分类算法，构建湖泊水环境评价模型。 - In order to improve the classification accuracy of multiclass, an algorithm called Large Margin and Fuzzy Kernel Hyper-Ball ( LMFKHB) was proposed.
为了提高多类问题的分类精度，提出最大边界模糊核超球（LMFKHB）算法。 - If a skill is not a class skill for any of a multiclass character's classes, the maximum rank for that skill is one-half the maximum for a class skill.
如果某技能不是兼职人物任何职业的本职技能，那么该技能的最大级数是本职技能最大级数的一半。 - An Improved SVM Multiclass Classification Algorithm Based on DAG
一种改进的有向无环图支持向量机分类算法 - In order to formulate the process of realizing stochastic user equilibrium, authors proposed an evolution model of multiclass and multicriteria stochastic equilibrium traffic assignment.
为了刻画实现随机用户均衡态的过程，提出一个考虑多用户参与和多准则决策的随机均衡交通配流演化模型。 - Classification and Diagnosis of Multiclass ECG Signals Based on MAR Modeling and Priority
基于MAR模型和优先权的多类别ECG分类诊断 - New method of SVM multiclass classification based on DAG
一种新的DAGSVMs多类分类方法 - Remote sensing lmage classification using active learning with multiclass support vector machine
多分类SVM主动学习及其在遥感图像分类中的应用 - Reinforcement support vector machine for multiclass classification
一种处理多类分类问题的强化支持向量机方法 - Research on Text Classification Based on Binary Tree Multiclass Support Vector Machines
基于二叉树多类支持向量机的文本分类研究 - Bounding efficiency loss of multiclass stochastic user equilibrium traffic assignment under road pricing
收费情形下多用户类随机用户均衡交通分配的效率损失上界 - This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space.
本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。 - The method applies binary algorithms to deal with multiclass learning problem by employing error correcting output coding.
这种方法采用纠错输出码将多类别问题转化为二类别问题逐个处理。 - The admission criterion of multiclass services is deduced for multicode DS CDMA based systems.
首先推导出基于多码DSCDMA系统的多级业务的接纳准则； - PROBABILITY Application of posterior probability to multiclass SVM The algorithm directly gets posterior probability by less computation.
为弥补概率数据关联以及联合概率数据关联算法的不足，介绍了一种改进算法，以较小的计算量直接计算出后验概率。 - A multiclass classifier that can be used for vehicle classification using support vector is designed.
设计了一种可用于车辆识别的基于支持向量的多类分类器。 - A new two-level scheme of access control based on a single-code CDMA system supporting multiclass traffic is proposed.
基于支持多级业务的单码CDMA系统，本文设计了一种适合于多级业务接入的两层控制方案。 - Finally, an example of multiclass classification for monitoring operation status of wastewater treatment processes was given.
最后给出了污水生化处理过程运行状态监控的多类别分类实例。 - Research and analysis of methods for multiclass support vector machines
多类支持向量机方法的研究现状与分析 - A new SVM multiclass classification based on binary tree
一种新的基于二叉树的SVM多类分类方法 - Output coding is a general framework for solving multiclass problems.
输出编码是解决多类别分类问题的一般性框架。 - The problems and defections of the existing methods of SVM multiclass classification are analyzed.
分析了目前的支持向量机多类分类方法存在的问题以及缺点。 - Upon termination of the algorithm, the correct weight must be found for a linearly separable multiclass pattern recognition.
当算法终止时，对于可线性划分的多类模式识别问题总是能找到正确的解。 - The paper makes use of character barycenter and wavelet to extract character feature, two-grid method to optimize parameters, and multiclass classification to recognize characters, which obtains excellent results in the practice.
本文使用了重心和小波两种方法提取字符特征，二次网格法优化参数，多类分类方法对字符进行识别，在实际中取得了很好的效果。 - This method is easy for implement and to extend for multiclass protein classification.
该方法为蛋白质序列辨识提供了易实现和易推广到多类问题的新手段。 - This dissertation studies the stability and diffusion approximation of multiclass queue-ing networks.
本文研究了多类排队网络的稳定性理论和扩散近似理论。 - Deeply analyses the characteristics of hyperspectral image data and the key problems of traditional classification methods, and systematically introduces and analyses existing multiclass SVMs methods.
剖析了高光谱图像数据的特性和传统的分类方法面临的主要问题，系统地介绍和分析了现有的多类SVM分类方法，讨论了SVM高光谱分类的影响因素。 - Based on decision tree and voting rules, multiclass SVM classifier is established and used for the gear box failure data classification and identification.
结合决策树和投票法则建立多分类SVM分类器，对齿轮箱故障数据进行分类和识别。 - If we use support vector machine and support tensor machine for multiclass problems, unclassifiable regions exist.
由于对支持向量机或支持张量机来说传统的多类分类方法会出现不可分区域。