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
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제6권 제3호
- 발행연도
- 2004.1
- 수록면
- 655 - 662 (8page)
이용수
초록· 키워드
오류제보하기
Prediction interval estimation based on bootstrap method is presented for the support vector machine regressions, which allow us to perform even nonlinear regression by constructing a linear regression function in a high dimensional feature space. The bootstrap is applied to generate the bootstrap samples for the estimation of the covariance of the regression parameters consisting of the optimal bias and Lagrange multipliers. Experimental results are given which indicate the performance of proposed algorithm.
목차
등록된 정보가 없습니다.
참고문헌 (8)
참고문헌 신청
/ 1909 / Functions of Positive and Negative Type and Their Connection with Theory of Integral Equations Philosophical Transactions of Royal Society : 415 ~ 446
/ 1993 / An Introduction to the Bootstrap
/ 1995 / The Nature of Statistical Learning Theory
/ 1998 / On a Kernel-Based Method for Pattern Recognition 22 : 211 ~ 231
/ 1998 / Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines
/ 1993 / An Introduction to the Bootstrap
/ 1995 / The Nature of Statistical Learning Theory
/ 1998 / On a Kernel-Based Method for Pattern Recognition 22 : 211 ~ 231
/ 1998 / Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Prediction Intervals for LS-SVM Regression using the Bootstrap
한국데이터정보과학회지
2003 .06
-
REGRESSION WITH CENSORED DATA BY LEAST SQUARES SUPPORT VECTOR MACHINE
JKSS(Journal of the Korean Statistical Society)
2004 .01
-
Support Vector Median Regression
한국데이터정보과학회지
2003 .03
-
On Approximate Prediction Intervals for Support Vector Machine Regression
한국데이터정보과학회지
2002 .12
-
Support Vector Machine Regression for a Gaussian Fuzzy Model
Journal of The Korean Data Analysis Society
2004 .01
-
Support vector regression with the weighted absolute deviation error loss function
한국데이터정보과학회지
2018 .11
-
Quadratic Loss Support Vector Interval Regression Machine for Crisp Input-Output Data
한국데이터정보과학회지
2004 .06
-
Weighted Support Vector Machines for Heteroscedastic Regression
한국데이터정보과학회지
2006 .06
-
On-Line LS-SVM Regression with Pruned Support Vectors - based on cross validatory choice of hyper-parameters -
Journal of The Korean Data Analysis Society
2005 .01
-
Least-Squares Support Vector Machine for Regression Model with Crisp Inputs-Gaussian Fuzzy Output
한국데이터정보과학회지
2004 .06
-
Estimating Regression Function with ε-Insensitive Supervised Learning Algorithm
한국데이터정보과학회지
2004 .06
-
Variance Function Estimation using SVM and Jack-Knife Method
Journal of The Korean Data Analysis Society
2011 .01
-
A study on a composite support vector quantile regression with varying coefficient model
한국데이터정보과학회지
2018 .07
-
EVALUATION OF PARAMETER ESTIMATION METHODS FOR NONLINEAR TIME SERIES REGRESSION MODELS
Journal of applied mathematics & informatics
2009 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0