Currently, SVM and other kernel methods have become one of the research focuses in machine learning community.
目前,以支持向量机为主要代表的核方法是机器学习领域研究的焦点课题之一。
参考来源 - 支持向量机模型选择研究First,we introduce a framework to model protein sequence similarities in the context of kernel methods.
首先,我们在核方法的范畴内介绍一个对蛋白质序列相似性建模的框架。
参考来源 - 核学习方法及其在生物序列分析中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
First, we introduce a framework to model protein sequence similarities in the context of kernel methods.
首先，我们在核方法的范畴内介绍一个对蛋白质序列相似性建模的框架。
Based on the analysis of the core concepts of the kernel methods, a clustering algorithm based on kernel methods was put forward.
在分析核方法的核心概念基础上，提出了一种基于核方法的聚类算法。
Kernel methods are best known for the popular method Support Vector Machines which is really a constellation of methods in and of itself.
核函数方法中最为有名的是流行的支持向量机算法，它实际上是一系列方法。
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