标题
Random forests for functional covariates
作者
关键词
-
出版物
JOURNAL OF CHEMOMETRICS
Volume 30, Issue 12, Pages 715-725
出版商
Wiley
发表日期
2016-11-04
DOI
10.1002/cem.2849
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Methods for Scalar-on-Function Regression
- (2016) Philip T. Reiss et al. INTERNATIONAL STATISTICAL REVIEW
- A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis
- (2016) Gina-Maria Pomann et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
- Feasibility of boar taint classification using a portable Raman device
- (2016) Xiaoye Liu et al. MEAT SCIENCE
- Boar taint detection: A comparison of three sensory protocols
- (2016) Johanna Trautmann et al. MEAT SCIENCE
- Nearest neighbor ensembles for functional data with interpretable feature selection
- (2015) Karen Fuchs et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Evaluating the performance of sensory quality control: The case of boar taint
- (2015) Lisa Meier-Dinkel et al. MEAT SCIENCE
- How olfactory acuity affects the sensory assessment of boar fat: A proposal for quantification
- (2014) Johanna Trautmann et al. MEAT SCIENCE
- Estimator selection and combination in scalar-on-function regression
- (2013) Jeff Goldsmith et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Functional Generalized Additive Models
- (2012) Mathew W. McLean et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Preliminary investigation on the relationship of Raman spectra of sheep meat with shear force and cooking loss
- (2012) Heinar Schmidt et al. MEAT SCIENCE
- Penalized Functional Regression
- (2011) Jeff Goldsmith et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Feature selection guided by structural information
- (2010) Martin Slawski et al. Annals of Applied Statistics
- Variable Importance Assessment in Regression: Linear Regression versus Random Forest
- (2009) Ulrike Grömping AMERICAN STATISTICIAN
- Functional linear regression that’s interpretable
- (2009) Gareth M. James et al. ANNALS OF STATISTICS
- Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting
- (2009) Jan Gertheiss et al. BIOINFORMATICS
- Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression
- (2009) Gerhard Tutz et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started