JOURNAL ARTICLE
Efficient sparsification for Gaussian process regression
Jens SchreiterDuy Nguyen-TuongMarc Toussaint
Year: 2016 Journal: Neurocomputing Vol: 192 Pages: 29-37 Publisher: Elsevier BV
Keywords:
Kriging Gaussian process Computer science Generalization Regression Artificial intelligence Machine learning Inverse dynamics Gaussian Model selection Process (computing) Algorithm Mathematical optimization Mathematics Statistics
Metrics
31
Cited By
1.97
FWCI (Field Weighted Citation Impact)
29
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Gaussian Processes and Bayesian Inference
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Multi-Objective Optimization Algorithms
Physical Sciences → Computer Science → Computational Theory and Mathematics
Machine Learning and Data Classification
Physical Sciences → Computer Science → Artificial Intelligence
Related Documents
JOURNAL ARTICLE
A perturbed Gaussian process regression with chunk sparsification for tracking non-stationary systems
Dong LiDongbin ZhaoZhongpu Xia
Year: 2016 Vol: 20 Pages: 6639-6644
JOURNAL ARTICLE
Efficient Gaussian process regression for large datasets
Anjishnu BanerjeeDavid B. DunsonSurya T. Tokdar
Journal: Biometrika Year: 2012 Vol: 100 (1)Pages: 75-89
JOURNAL ARTICLE
Efficient Optimization for Sparse Gaussian Process Regression
Yanshuai CaoMarcus A. BrubakerDavid J. FleetAaron Hertzmann
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2015 Vol: 37 (12)Pages: 2415-2427
BOOK-CHAPTER
Decision-Theoretic Sparsification for Gaussian Process Preference Learning
M. Ehsan AbbasnejadEdwin V. BonillaScott Sanner
Lecture notes in computer science Year: 2013 Pages: 515-530