An interval estimator for the unmixing of mixtures with set-based source descriptions

DOI10.1016/j.ijar.2015.03.004zbMath1446.62109DBLPjournals/ijar/VerwaerenRB15OpenAlexW2016350851WikidataQ60255965 ScholiaQ60255965MaRDI QIDQ892187

Bernard De Baets, Jan Verwaeren, Michael Rademaker

Publication date: 18 November 2015

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2015.03.004

zbMATH Keywords

interval estimationmixturesmathematical optimization

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Convex programming (90C25) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• SDPT3
• CVX

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Joint propagation of probability and possibility in risk analysis: towards a formal framework
• Generalized bilinear programming. I: Models, applications and linear programming relaxation
• Bayesian separation of spectral sources under non-negativity and full additivity constraints
• Utilizing belief functions for the estimation of future climate change
• Statistical reasoning with set-valued information: ontic vs. epistemic views
• Graph Implementations for Nonsmooth Convex Programs
• Introduction to Interval Analysis
• Numerical Optimization
• SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
• Rounding of Polytopes in the Real Number Model of Computation
• A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
• Programming with linear fractional functionals

This page was built for publication: An interval estimator for the unmixing of mixtures with set-based source descriptions