Until now there is no ideal animal model for SLT.

SLT研究的理想动物有待于建立。

Expatiates SLT cage path rope online detect automatism modulate device and working elements.

介绍了SLT型罐道绳在线检测自动调整装置及其工作原理。

This dissertation firstly describes the theoretical bases of SVM-statistical learning theory (SLT).

支持向量机是基于统计学习理论的新一代机器学习技术。

First, the author makes a thorough and detailed analysis about the profiles concerning the SLT and the TLT.

首先，作者对原文以及两个译本作了详细的考察，重点分析了两个译本的翻译目的。

SVM is a novel powerful machine learning method developed in the framework of Statistical Learning Theory (SLT).

支持向量机是在统计学习理论基础上开发出来的一种新的、非常有效的机器学习方法。

Support Vector Machine (SVM) is used as the implementation basis, which is a tool of Statistical Learning Theory (SLT).

在探索手写字符识别的方法上采用了统计学习理论，利用支撑向量机SVM作为基本的识别工具。

An example of a SLT is to consider whether a service provides a required unit of business functionality that supports business processes and goals.

SLT的一个例子是考虑服务是否提供了支持业务流程和目标所需的业务功能单元。

The relationship between language and culture and the differences between Chinese culture and western culture determines the complexity of SLT/FLT.

语言与文化相互影响，相互制约的关系及中西文化的差异，决定了第二语言外语教学的复杂性。

The contact numbers should include local as well as the SLT members for Quality, Operations, Sales and Supply Chain plus corporate Regulatory and Corporate Legal.

联系电话应包括当地的和SLT的质量，运营，销售和供应链等成员的电话，以及公司管理机构和公司的法律电话。

Support vector machine (SVM) is a novel and powerful learning method which is derived based on statistical learning theory (SLT) and the structural risk minimization principle.

建立在统计学习理论基础之上的支持向量机(SVM)，是一种基于结构风险最小的小样本机器学习方法。

Based on digital signal process (DSP), this article gave the design method of an electronic board, which is used in the scanning imaging system of sonoluminescence tomography (SLT).

基于数字信号处理(dsp)方案设计了一块电路板用于声致发光层析成像(SLT)的扫描成像系统。

Support Vector Machines(SVM) are developed from the theory of limited samples Statistical Learning Theory (SLT) by Vapnik et al. , which are originally designed for binary classification.

支持向量机（SVM）是建立在统计学习理论基础上的一种小样本机器学习方法，用于解决二分类问题。

The basic statistical learning theory (SLT) and its corresponding algorithms, support vector machines (SVMs), are surveyed, and especially, its latest research results are summarized and studied.

为了系统地归纳统计学习理论与支持向量机的基本思想和算法，总结目前该领域的最新研究成果。

Based on statistical learning theory (SLT), the relevant problems of solving the machinery intelligent diagnosis and condition prediction are thoroughly researched in this project by means of SVM.

本项目以统计学习理论为基础，深入研究了应用支持向量机方法解决机械智能诊断和状态预测的相关问题。