Research on model selection of Support Vector Machine .
支持向量机的模型选择研究。
Chapter 4, The Some Development of Support Vector Machine.
第4章，支持向量机的部分进展。
Support Vector machine is a new method of machine learning.
支持向量机是一种新的机器学习方法。
Support vector machine is a new kind of machine learning method.
支持向量机是一种新的机器学习方法。
Support vector machine (SVM) is a new mechanism of machine learning.
支持向量机(SVM)是一种新的机器学习机制。
Support vector machine is a highly performance classification method.
研究支持向量机在大类别数分类中的应用。
The support vector machine (SVM) is a very effective method for regression issue.
支持向量回归机是求解回归问题的新的十分有效的方法。
Support Vector Machine for regression (SVR) has shown very good learning performance.
回归型支持向量机方法SVR具有很好的学习性能。
In this paper, we presented support vector machine and applications in concept design.
本文研究了支持向量机及其在概念设计中的应用。
Support Vector Machine is the most successful method of protein homology remote detection.
支持向量机是目前蛋白质远程同源检测应用最成功的方法。
Application of theory of support vector machine for forecasting link travel time is discussed.
主要探讨支持向量机理论在路段行程时间预测中的应用。
This paper presents a recognition method of similar Chinese handwriting by support vector machine.
本文提出对手写相似汉字进行识别的支持向量机方法。
In recent years, Support Vector Machine (SVM) has become the research focus in statistical theory.
近年来，支持向量机(SVM)已成为统计学习理论的研究热点。
The establishment of beast square support vector machine method and sliding time window is introduced.
介绍了最小二乘支持向量机计算法和滑动时间窗的建立。
The establishment of beast square support vector machine method and sliding time window is introduced.
介绍了最小二乘支持向量机计算法和滑动时间窗的建立。
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