分类数据
- 与 分类数据 相关的网络例句 [注:此内容来源于网络,仅供参考]
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The support vector machine is one new general learning method,which proposed in the statistical Learning Theory,mainly applied in the data classification and regression estimate,meanwhile the main basis in plant classification is plant's outward characteristic.
支持向量机是在统计学习理论基础上提出的一种新型的通用学习方法,主要应用于数据的分类和回归估计,而植物分类的主要依据是植物的外观特征。
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Has formed the main function in view of these question this financial control system designs: Has solved the traditional manual with difficulty long-term preservation problem; Has the certainly fast inquiry function; In the number financial control also has even if the renewal system information function has the classified statistics function; When carries on the classification statistical work is arduous, in prompt discovery and solution management question; Enhanced between other department's data inquiry working efficiency favor the establishment company interior the information exchange platform, was advantageous for realization company interior resources sharing.
针对这些问题本财务管理系统设计而形成了主要功能:解决了传统手工难以长期保存的问题;拥有一定快速的查询功能;在数财务管理还拥有即使更新系统信息的功能具有分类统计功能;在进行分类统计工作繁重时,及时发现和解决管理中的问题;提高了其它部门之间的数据查询工作效率利于建立公司内部的信息交流平台,便于实现公司内部的资源共享。
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It greatly reduces the problem of sparsity of data, because the size of the vocabulary made up of characters is smaller than that formed from words.
由于字的数量远小于词的数量,所以该分类方法与其它在词级别上的分类方法相比,有效地降低了数据稀疏带来的影响。
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The classification on the remote sensing image is the indispensable content to the forest resource investigation and supervisal.
遥感影像分类是森林资源调查和监测不可缺少的内容,分类的精度直接影响遥感数据的应用水平和实用价值。
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This paper will analyze the reason that the performance of imbalanced data is weak,and improve this classical Boosting algorithm by restraining from overfitting and controlling the F-Measure of minority class,and propose an improved algorithm named RIFBoost,and then compare this new algorithm with some traditional classified algorithms on WEKA system.
从分析非平衡数据分类性能差的原因入手,通过抑制过度拟合与对少数类的F度量的控制对经典推进算法进行改进,提出了一种改进算法RIFBoost,然后将算法在WEKA系统上与几个传统的分类算法进行了比较。
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Those four classification models work well in first class of Chinese Vegetaion Division. The KAPPA value of Holdridge Life Zone System,at high value of 0.57,would probably more effective than the others. But in specific area,like tibetan plateau,all of those models need to be refined or consider more elements and factors. This research also points out that the concept and technology of Digitall Earth would promote and push forward the climate-vegetation relationship research,especially in climate-vegetation factors,climatically parameters and modeling parameters,real time dynamic monitoring,effectively managing the magnitude data of climate-vegetation relationship information and supporting the mainframe of Functional Types Modeling Library.
这四个传统的分类方法在中国植被区划一级分类上是适用的,Holdridge生命地带系统KAPPA一致性指数达到0.57模拟效果优于其它三者,但在特定地区,如青藏高原,所有模型均需改进优化或启用新的模型因子才能很好地区分植被亚地带,本研究还指出,数字地球技术的应用有助于推动气候—植被关系的研究,尤其在气候—植被指标的大范围实的动态监测、气候—植被关系数据的海量信息高效、有序基础管理和功能模型库支撑框架体系方面。
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As it can be expressed easily by argument equations, we use the conicoid as the criteria of points" classification. Based on the point"s normal and the adjacent field, corresponding to the conicoid equation such as plane, ball and cylinder, we search the points that fit the equation along the adjacent field. Using this method, we realized the automatic classification of unorganized points.The experiments using the algoritlim and criteria approved from this thesis are also carried out.
本文采用了可以比较方便地用参数方程表示的二次曲面作为数据点的分类标准,根据点的法向量以及其邻域结点的各种属性,对应于平面、球面、柱面等二次曲面,依据曲面方程的特点,从起始点开始沿邻域深度优先递归寻找符合方程的数据点,实现了散乱数据点的自动分类。
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On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.
在确定应用技术与系统结构的基础上,重点阐述了本文的核心技术,这包括:知识表示技术,采用&描述框架+规则组&的层次结构,&描述框架&用于描述问题域所涉及的因素,&规则组&反映问题域内的子问题;知识管理系统,由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成;不确定性推理机采用启发式搜索策略,元知识控制的数据驱动,以复合证据可信度优先作为匹配冲突消解的策略,推理解释采用预置文本与求解路径追踪的方法;知识发现,采用SLIQ快速可伸缩算法,分类模型用判定树与产生式规则两种形式描述。
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The optimized classification andtracking results are determined by the viewpoint correspondence and data fusionamong the overlapping cameras.By use of the different view directions of theoverlapping cameras,object classification accuracy and tracking stabilization incomplex occlusion scenes are improved.
借助于重叠摄像机之间不同的视角方向,利用摄像机之间的视点对应和数据融合决定最优的分类与跟踪结果,提高了遮挡状态下运动目标分类的准确度和目标跟踪的稳定性。
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Under the background of the nonstructural data mining model,this paper proposed a text classification algorithm based on the discovery feature sub-space model, TCDFSSM algorithm.
在非结构化数据挖掘结构模型,即发现特征子空间模型的运行机制下,提出了一种新的文本分类算法——基于DFSSM 的文本分类算法。
- 推荐网络例句
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The split between the two groups can hardly be papered over.
这两个团体间的分歧难以掩饰。
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This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.
这种做法不仅鼓励了更多的反应,而且减少跟风的可能性。
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The new PS20 solar power tower collected sunlight through mirrors known as "heliostats" to produce steam that is converted into electricity by a turbine in Sanlucar la Mayor, Spain, Wednesday.
聚光:照片上是建在西班牙桑路卡拉马尤城的一座新型PS20塔式太阳能电站。被称为&日光反射装置&的镜子将太阳光反射到主塔,然后用聚集的热量产生蒸汽进而通过涡轮机转化为电力