Classification of Chromosome Sequences with Entropy Kernel and LKPLS Algorithm

机译：熵核和LKPLS算法对染色体序列的分类

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Kernel methods such as support vector machines have been used extensively for various classification tasks. In this paper, we describe an entropy based string kernel and a novel logistic kernel partial least square algorithm for classification of sequential data. Our experiments with a human chromosome dataset show that the new kernel can be computed efficiently and the algorithm leads to a high accuracy especially for the unbalanced training data.

机译：诸如支持向量机之类的内核方法已广泛用于各种分类任务。在本文中，我们描述了一种基于熵的字符串核和一种新的逻辑核偏最小二乘算法，用于对顺序数据进行分类。我们使用人类染色体数据集进行的实验表明，可以高效地计算新内核，并且该算法具有较高的准确性，尤其是对于不平衡的训练数据而言。

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来源
《International Conference on Advances in Intelligent Computing(ICIC 2005); 20050823-26; Hefei(CN)》|2005年|P.543-551|共9页
会议地点 Hefei(CN)
作者
Zhenqiu Liu; Dechang Chen;
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作者单位

Department of Statistics, The Ohio State University, 1958 Neil Avenue, Columbus, OH 43210, USA;

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原文格式 PDF
正文语种 eng
中图分类自动化系统理论;
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4. Classification of Chromosome Sequences with Entropy Kernel and LKPLS Algorithm [C] . Zhenqiu Liu, Dechang Chen International Conference on Advances in Intelligent Computing . 2005

机译：熵核和LKPLS算法染色体序列的分类
5. Biological time series classification via reproducing kernels and sample entropy. [D] . Mao, Dong. 2008

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6. Missing Value Estimation Methods Research for Arrhythmia Classification Using the Modified Kernel Difference-Weighted KNN Algorithms [O] . Fei Yang, Jiazhi Du, Jiying Lang, 2020

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7. Kernel-based Discriminative Learning Algorithms for Labeling Sequences, Trees, and Graphs [O] . Hisashi Kashima, Yuta Tsuboi 2004

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Classification of Chromosome Sequences with Entropy Kernel and LKPLS Algorithm

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