分类机

In experiment, Gaussian Maximum Likelihood Classification and Radial Basis Function neural network are used for comparison.

支持向量机」可选用不同核函数，而且会因核函数选用的不同，而对分类成果造成差异。

But when solve real problem using support vector machine, its computation rate is slow and its efficiency is low.

但是在利用支持向量机的分类算法处理实际问题时，该算法的计算速度较慢、处理问题效率较低。

It includes four parts: 1 Part I, it introduces the basic knowledge of computer viruses such as computer virus definition, history and important viruses events, features, behavior phenomena, difference with computer software and hardware troubles, damage behavior and capability, classification, naming, future trend, etc; 2 Part II, it introduces the corresponding knowledge of computer systems related to computer viruses such as the composing of software and hardware of the computer system, storage media and its working mechanism, interrupt technologies,.com/.exe/.pe file formats and their working mechanism, etc; 3 Part III, it introduces computer virus mechanism and theory such as computer virus structure, work flow, working mechanism of key modules, typical technologies used to design computer viruses including the corresponding traditional technologies (interrupt filching, memory resident, etc.), the corresponding new routine technologies (self-encrypting, Mutation Engine, etc.), and the corresponding new technologies used by some prevalence computer viruses such as macro viruses, e-mail viruses, worm, hacker, Trojan, mobile phone viruses, the working mechanism analysis of some kinds of typical and prevalence computer viruses such as file-type viruses, macro viruses, e-mail viruses, worm viruses, hacker, Trojan, mobile phone viruses, the analysis of some typical and prevalence computer viruses examples including BALL viruses, WORD macro viruses, WantJob viruses, Code Red viruses, BO Trojan, etc; 4 Part IV, it introduces the defense and killing technologies of computer viruses such as the aim and criterion of computer viruses defense and killing, prevention methods and corresponding technologies, detection technologies (comparison method, character code scanning method, behavior inspecting method, analysis method, etc.), manual and automatic killing technologies, immunity technologies such as IBM digital immunity system, new anti-viruses technology trends (real-time anti-viruses technologies, 32 kernel technologies, active kernel technologies, etc.), some typical virus defense and killing softwares (Symantec AntiVirus product, PC-Cillin AntiVirus product, etc.), the defense and killing method analysis of some kinds of typical and prevalence computer viruses (file-type viruses, macro viruses, worm viruses, hacker, etc.), for example, firewall and intrusion detection technologies for anti-hacker, the defense and killing of some typical and prevalence computer viruses examples including WORD macro viruses, Code Red viruses, BO Trojan, etc.

课程内容具体包括四大部分：1）第一部分，介绍计算机病毒基本知识，包括：计算机病毒定义、病毒发展史及重大事件、病毒特点、病毒表现现象及与软硬件故障的区别、病毒破坏行为及危害性、病毒的传播途径及媒介、病毒分类、病毒的命名及计算机病毒技术发展趋势等内容；2）第二部分，介绍与计算机病毒有关的计算机系统相关知识，包括：计算机系统软硬件组成、存储介质结构及工作原理、计算机系统引导机理及流程、中断技术、。com/。exe/。pe等文件格式及工作机理等内容；3）第三部分，讲解计算机病毒机理，包括：计算机病毒的组成结构、病毒工作流程、病毒引导/触发/感染/破坏等模块的工作机理、计算机病毒所采取的编制技术（包括中断窃取/内存驻留等传统编制技术、自加密/隐形/变形机等新的常规编制技术、宏病毒/电子邮件病毒/网络蠕虫/特洛伊木马/黑客/手机病毒等一些新的流行病毒所采取的编制技术等）、一些类型的典型或流行计算机病毒的工作机理分析（包括：引导型病毒、文件型病毒、宏病毒、电子邮件病毒、蠕虫病毒、黑客、特洛伊木马、手机病毒等）、一些典型或流行的计算机病毒实例剖析（包括：小球病毒、WORD宏病毒、求职信病毒、红色代码病毒、冰河木马等）等内容；4）第四部分，讲解计算机病毒防治技术，包括：计算机病毒防治目的、病毒防治策略及规范、病毒在管理和技术上的预防措施、病毒检查技术（包括：比较法/病毒特征码扫描法/行为监测法/虚拟执行法/分析法等）、手工和自动病毒清杀技术、病毒免疫技术（包括：针对某种一次性感染病毒的基于病毒标签的免疫方法/基于自我完整性检查的计算机病毒免疫方法/IBM的数字免疫系统等）、反病毒技术的新发展（包括：实时反病毒技术/32位内核技术/主动内核技术/以毒攻毒技术等）、诺顿/趋势/金山等公司的病毒防治软件产品、一些类型的典型或流行的计算机病毒（包括：引导型病毒、文件型病毒、宏病毒、蠕虫病毒、电子邮件病毒、手机病毒、黑客、特洛伊木马）的防治措施（其中，也包括介绍面向防范黑客攻击的防火墙、入侵检测技术）、一些典型或流行的计算机病毒防治实例剖析（包括：WORD宏病毒、红色代码病毒、冰河木马v1.1/v2.2等）、多层次病毒防护体系等内容。

The idea to give each species two manes was not new

在他的体系中，不同物种的分类是以雄性和雌性植物花的器官的组合机物为根据的。

This method made the number of dimensions of the feature was effectively reduced and calculation decreased.

在特征提取的基础上，用支持向量机对图像进行分类与检索，分别给出相应算法。

The method can reduce the dimensions of the data and the complexity, and raise the efficiency of training and the accuracy of prediction. The effect extent to the earthquake-resistance performance of these factors can be obtained in the model.

该模型不但能有效降低建筑物震害影响因子数据维数及支持向量机的复杂程度，提高训练速度和分类精度，而且还能对各因子的影响程度进行排序。

To solve this problem, this paper proposed a new method to reduce the dimensions of the documents and extract the semantic concepts of words using kernel principal component analysis.

利用核主成分分析和支持向量机，提出一种通过约简文本数据维数抽取语义概念、基于语义概念进行文本分类的新方法。

Results The EEG characteristics energy displayed by the model between epilepsy patients and healthy people could be divided obviously. As a new machine learning methods, SVM had a strong ability to generalize. EEG signals based on the algorithm of the classification would become diagnosis of epilepsy patients misprision of a new viable avenue.

结果：癫痫患者和健康人的16导脑电信号在能量特征上表现出较高的模式可分性，支持向量机作为一种新的机器学习方法，具有较强的泛化能力，基于该算法的EEG信号的分类方法会成为诊断隐匿癫痫患者的一种新的可行途径。

Support Vector Machine is one of focuses of research and application in classification.

当前支持向量机是分类研究与应用的一个热点。

One-class support vector machine and support vector data description are two main domain-based one-class classifiers.

单类支持向量机和支持向量数据描述是两种流行的基于支撑域的单分类器。

By the time of its fall, most of the prisoners were writers who had written against the corruptions of the government.

到它被攻陷的时候，里面多数的犯人是写了反对政府贪污文章的作家。

The most obvious variation to ovum morphological character was that the color was changed from light green to sepiaceous in embryonic development, and all the ovums were almost hatched after 96h.

在胚胎发育过程中卵的形态特征最明显的变化是颜色从淡绿到深褐色，卵在发育96h后卵基本全部孵化。