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
- 2014.4
- 수록면
- 455 - 464 (10page)
이용수
초록· 키워드
오류제보하기
Unlabeled examples are easier and less expensive to obtain than labeled exam-ples. Semisupervised approaches are used to utilize such exam-ples in an effort to boost the predictive performance. This paper proposes a novel semisupervised classification method named transductive least squares support vector machine (TLS-SVM), which is based on the least squares support vector machine. The proposed method utilizes the difference convex algorithm to derive nonconvex minimization solutions for the TLS-SVM. A generalized cross validation method is also developed to choose the hy-perparameters that affect the performance of the TLS-SVM. The experimental results confirm the successful performance of the proposed TLS-SVM.
목차
등록된 정보가 없습니다.
참고문헌 (23)
참고문헌 신청
1. [학술지(정기간행물)] - Adankon, M. / 2009 / Semisupervised least squares support vector machine / IEEE Tranactions on Neural Networks 20 : 1858 ~ 1870
2. [학술지(정기간행물)] - An, L. / 1997 / Solving a class of linearly constrained inde nite quadratic problems by D. C. algorithms / Journal of Global Optimization 11 : 253 ~ 285
3. [학술지(정기간행물)] - Astotino, A. / 2005 / Nonsmooth optimization technique for semisupervised classi catin / IEEE Transactions on Pattern Analysis and Machine Intelligence 29 : 2135 ~ 2142
4. [학술대회논문] - Blum, A. / 1998 / Combining labeled and unlabeled data with co-training / Proceedings of the 11th Annual Conference on Computational Learning Theory : 92 ~ 100
5. [학술대회논문] - Blum, A. / 2001 / Learning from labeled and unlabeled data using graph minicuts / Proceedings of ICML 2001 : 19 ~ 26
2. [학술지(정기간행물)] - An, L. / 1997 / Solving a class of linearly constrained inde nite quadratic problems by D. C. algorithms / Journal of Global Optimization 11 : 253 ~ 285
3. [학술지(정기간행물)] - Astotino, A. / 2005 / Nonsmooth optimization technique for semisupervised classi catin / IEEE Transactions on Pattern Analysis and Machine Intelligence 29 : 2135 ~ 2142
4. [학술대회논문] - Blum, A. / 1998 / Combining labeled and unlabeled data with co-training / Proceedings of the 11th Annual Conference on Computational Learning Theory : 92 ~ 100
5. [학술대회논문] - Blum, A. / 2001 / Learning from labeled and unlabeled data using graph minicuts / Proceedings of ICML 2001 : 19 ~ 26
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2018-041-001374876