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
- 2017.5
- 수록면
- 685 - 695 (11page)
이용수
초록· 키워드
오류제보하기
The traditional mixture of experts (ME) modeled the gate network using a certain parametric function. However, if the assumed parametric function does not properly reflect the true nature, the prediction strength of ME would become weak. For example, the parametric ME often uses logistic or multinomial logistic models for the network model. However, this could be very misleading if the true nature of the data is quite different from those models. Although, in this case, we may develop more flexible parametric models by extending the model at hand, we will never be free from such misspecification problems. In order to alleviate such weakness of the parametric ME, we propose to use the semi-parametric mixture of experts (SME) in which the gate network is estimated in a non-parametrical way. Based on this, we compared the performance of the SME with those of ME and neural networks via several simulation experiments and real data examples.
목차
등록된 정보가 없습니다.
참고문헌 (12)
참고문헌 신청
[학술지(정기간행물)] - Benaglia, T. / 2009 / Mixtools : An R package for analyzing nite mixture models / Journal of Statistical Software 32 : 1 ~ 29
[학술지(정기간행물)] - Dempster, A. P. / 1977 / Maximum likelihood from incomplete data via the EM algorithm / Journal of the Royal Statistical Society 39 : 1 ~ 38
[학술지(정기간행물)] - Goldfeld, S. M. / 1973 / A Markov model for switching regression / Journal of Economet-rics 1 : 3 ~ 15
[학술지(정기간행물)] - Gunther, F. / 2010 / Neuralnet : Training of neural networks / The R Journal 2 : 30 ~ 38
[학술지(정기간행물)] - Huang M. / 2012 / Mixture of regression models with varying mixing proportions : A semipara-metric approach / Journal of the American Statistical Association 107 : 711 ~ 724
[학술지(정기간행물)] - Dempster, A. P. / 1977 / Maximum likelihood from incomplete data via the EM algorithm / Journal of the Royal Statistical Society 39 : 1 ~ 38
[학술지(정기간행물)] - Goldfeld, S. M. / 1973 / A Markov model for switching regression / Journal of Economet-rics 1 : 3 ~ 15
[학술지(정기간행물)] - Gunther, F. / 2010 / Neuralnet : Training of neural networks / The R Journal 2 : 30 ~ 38
[학술지(정기간행물)] - Huang M. / 2012 / Mixture of regression models with varying mixing proportions : A semipara-metric approach / Journal of the American Statistical Association 107 : 711 ~ 724
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Some fixed-point results on parametric $N_{b}$-metric spaces
대한수학회논문집
2018 .01
-
Some evaluations of infinite series involving Dirichlet type parametric harmonic numbers
대한수학회보
2024 .05
-
Note on response dimension reduction for multivariate regression
CSAM(Communications for Statistical Applications and Methods)
2019 .09
-
Mixture modeling for efficiently estimating the spectral distribution of bivariate regular variation
한국데이터정보과학회지
2021 .05
-
Performance analysis of parametric wind models for tropical cyclone vortex simulation
한국기상학회 학술대회 논문집
2024 .10
-
On partial sums of four parametric Wright function
대한수학회논문집
2022 .07
-
Forecasting evaluation via parametric bootstrap for threshold-INARCH models
CSAM(Communications for Statistical Applications and Methods)
2020 .03
-
계수적 반응을 갖는 종양 억제 혼합물 실험에서 모형 비교
한국데이터정보과학회지
2017 .09
-
Intensive comparison of semi-parametric and nonparametric dimension reduction methods in forward regression
CSAM(Communications for Statistical Applications and Methods)
2022 .09
-
Dickey-Fuller Test for an Extended MA Model
Quantitative Bio-Science
2019 .05
-
Basic issues and challenges of statistical network analysis
CSAM(Communications for Statistical Applications and Methods)
2025 .01
-
Compact Modeling of Gate-All-Around Negative Capacitance
한국진공학회 학술발표회초록집
2020 .02
-
혼합치료 생존모형에 대한 M-스플라인 접근법
한국데이터정보과학회지
2020 .09
-
심층 신경망모형을 사용한 미세먼지 PM10의 예측
응용통계연구
2018 .04
-
Circle approximation using parametric polynomial curves of high degree in explicit form
대한수학회논문집
2022 .10
-
커널 밀도 추정치를 이용한 유한혼합모형의 초기화 방법과 모형기반 군집분석에의 응용
한국데이터정보과학회지
2018 .03
-
결측 공변량을 갖는 혼합회귀모형에서의 EM 알고리즘
응용통계연구
2016 .12
-
A MODIFIED EXTENDED KALMAN FILTER METHOD FOR MULTI-LAYERED NEURAL NETWORK TRAINING
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2018 .06
-
A comparison between logistic regression and neural networks in a constructed response item study
한국데이터정보과학회지
2019 .09
-
On certain estimates for rough generalized parametric Marcinkiewicz integrals
대한수학회보
2023 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2018-041-001369520