A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification

机译：基于谱的关系向量半监督分类支持向量算法

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A Spectrum-based Support Vector Algorithm (SSVA) to resolve semi-supervised classification for relational data is presented in this paper. SSVA extracts data representatives and groups them with spectral analysis. Label assignment is done according to affinities between data and data representatives. The Kernel function encoded in SSVA is defined to rear to relational version and parameterized by supervisory information. Another point is the self-tuning of penalty coefficient and Kernel scale parameter to eliminate the need of searching parameter spaces. Experiments on real datasets demonstrate the performance and efficiency of SSVA.

机译：本文提出了一种基于频谱的支持向量算法（SSVA），用于解决关系数据的半监督分类。 SSVA提取数据代表并通过光谱分析将其分组。标签分配是根据数据和数据代表之间的亲和力完成的。用SSVA编码的内核函数被定义为关系版本的后方，并由监督信息进行参数化。另一点是惩罚系数和内核尺度参数的自调整，从而消除了搜索参数空间的需要。在真实数据集上的实验证明了SSVA的性能和效率。

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来源
《Neural Information Processing pt.1; Lecture Notes in Computer Science; 4232》|2006年|801-810|共10页
会议地点 Hong Kong(CN)
作者
Ling Ping; Wang Zhe; Zhou Chunguang;
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作者单位

College of Computer Science, Jilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Changchun 130012, China;

School of Computer Science, Xuzhou Normal University, Xuzhou, 221116, China;

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正文语种 eng
中图分类信息处理（信息加工）;
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机译：使用迭代半监督支持向量机算法的联合特征重新提取和分类
2. Semi-supervised subclass support vector data description for image and video classification [J] . Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Neurocomputing . 2018,第FEBa22期

机译：用于图像和视频分类的半监督子类支持向量数据描述
3. Corrigendum to 'Semi-supervised subclass support vector data description for image and video classification' [Neurocomputing, 278 (2018), 51-61] [J] . Mygdalis Vasileios, Iosifidis Alexandros, Tefas Anastasios, Neurocomputing . 2018,第may24期

机译：“用于图像和视频分类的半监督子类支持向量数据描述”的更正[Neurocomputing，278（2018），51-61]
4. A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification [C] . Ling Ping, Wang Zhe, Zhou Chunguang International Conference on Neural Information Processing . 2006

机译：基于频谱的支持传染媒介算法，用于关系数据半监督分类
5. Algorithms for training large-scale linear programming support vector regression and classification. [D] . Rivas Perea, Pablo. 2011

机译：训练大规模线性规划的算法支持向量回归和分类。
6. A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine [O] . Fei Gao, Jingyuan Mei, Jinping Sun, -1

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7. Stochastic approximation algorithms for support vector machines semi-supervised binary classification [O] . Vaida Bartkutė-Norkūnienė 2008

机译：支持向量机的随机近似算法半监控二元分类

A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification

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