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TOP-K Indexing for Support Vector Machines : 지지 벡터 기계를 위한 TOP-K 인덱싱 기법

고일환 (Ilhwan Ko, 포항공과대학교)

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초록 moremore
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목차 moremore
1 Introduction 1
2 Related Work 6
3 Kernel Ranking Function 8
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1 Introduction 1
2 Related Work 6
3 Kernel Ranking Function 8
3.1 The Background of Kernel Ranking Function 8
3.2 Properties of Kernel Ranking Function 10
4 iKernel 15
4.1 Overview of iKernel 15
4.2 Index Construction 17
4.3 Query Processing 19
4.4 Clustering to Maximize the Pruning Ratio 23
5 Discussions 26
6 Experiment 28
6.1 Synthetic Data 28
6.2 Real-world Data 32
6.3 Changing Kernel Parameters 34
6.4 Inserting and Deleting Instances 36
6.5 Performance Comparison with KDX 38
7 Conclusions 42