지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2011.6
- 수록면
- 151 - 155 (5page)
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초록· 키워드
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In this study, we propose a signomial classification method with L?-regularization (SC?), which seeks a sparse signomial function by solving a mixed-integer program to minimize the weighted sum of the L?-norm of the coefficient vector of the resulting function and the L₁-norm of loss caused by the function. SC? gives an explicit description of the resulting function with a small number of terms in the original input space, which can be used for prediction purposes as well as interpretation purposes. We present a practical implementation of SC? based on the mixed-integer programming and the column generation procedure previously proposed for the signomial classification method with L₁-regularization. Computational study shows that SC? gives competitive performance compared to other widely used learning methods for classification.
목차
1. Introduction
2. An implementation of SC?
3. Experimental Results
4. Conclusion
Acknowledgment
References
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UCI(KEPA) : I410-ECN-0101-2013-530-003614913