英汉例句

• in this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.

  本文首次将统计学习理论及支持向量机方法引入提高采收率方法的潜力预测中。

• recently statistical learning theory has received considerable attention proposed based on small sample data, which is an important complementarity and development of traditional statistics.

  作为传统统计学的重要补充和发展，针对小样本数据提出的统计学习理论近来受到广泛重视。

• the investigations lay essential theoretical foundations for the systematic and comprehensive development of the complex statistical learning theory on credibility space.

  为系统建立可信性空间上复统计学习理论奠定了理论基础。

• 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。

• compared with statistical theory, statistical learning theory focuses on the machine learning of small sample size and can trade off between the complexity of models and generalization performance.

  与传统统计学相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。

• 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。

• with an overview on the statistical learning theory and the related optimization theory, we expound the basic knowledge of svr model and point out the advantages and disadvantages of svm.

  在对统计学习理论以及相关的优化理论进行回顾的基础上，从四个方面详细描述了svr模型的基础知识，并指出了svm的优缺点。

• this paper introduces statistical learning theory and support vector machine, proposes a new method, support vector machine technology, to simulate quasi-geoid.

  介绍统计学习理论和支持向量机，提出利用支持向量机技术进行似大地水準面拟合。

• statistical learning theory is based on a solid theoretical foundation. it provides an unified framework for solving the small sample learning problem.

  统计学习理论具有坚实的理论基础，为解决小样本学习问题提供了统一的框架。

• support vector machine (svm) based on the structural risk minimization of statistical learning theory is a method of machine learning for small sample set.

  基于统计学习理论中结构风险最小化原则的支持向量机是易于小样本的机器学习方法。

• this enables us to illustrate the viewpoint of statistical learning theory that will be used extensively during the course.

  因此，课程中将广泛地应用统计学习原理的观点来分析案例。

• finally, we employ statistical learning theory to analyze the empirical results, which shows that the success of gs-svms owes to its ability of bringing small vc dimension.

  我们也利用统计学习理论分析了实验数据，结果表明贪婪分阶段支持向量机的成功在于它能够产生较小的vc维。

• with the computer technology and statistical learning theory and its applications development, use of learning machines can study the issue of new ideas and solutions.

  随着计算机技术和统计学习理论及其应用的发展，利用学习机器可以对该问题提出新的研究思路和解决方案。

• 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。

• the statistical learning theory (slt) is a new technique for solving various machine learning problems and shows that it is suitable for the finite data.

  统计学习理论是机器学习领域的一个新的理论体系，它非常适用于解决有限样本下的机器学习问题。

• a novel method for predicting hotspots and coldspots using support vector machine (svm) based on statistical learning theory is developed.

  使用基于统计学习理论的支持向量机（svm）方法，提出了针对重组热点和冷点分类预测的新方法。