Cargando…

Combining interval, probabilistic, and other types of uncertainty in engineering applications

Detalles Bibliográficos
Autores principales:	Pownuk, Andrew, Kreinovich, Vladik
Lenguaje:	eng
Publicado:	Springer International Publishing AG 2018
Materias:	XX
Acceso en línea:	http://cds.cern.ch/record/2757813

Ejemplares similares

Propagation of interval and probabilistic uncertainty in cyberinfrastructure-related data processing and data fusion
por: Servin, Christian, et al.
Publicado: (2015)

Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering
por: Nguyen, Hung T, et al.
Publicado: (2012)

Uncertainty modeling: dedicated to professor Boris Kovalerchuk on his anniversary
por: Kreinovich, Vladik
Publicado: (2017)

Algebraic techniques and their use in describing and processing uncertainty: to the memory of professor Elbert A. Walker
por: Nguyen, Hung T, et al.
Publicado: (2020)

Applications of interval computations
por: Kearfott, R, et al.
Publicado: (1996)

Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria
por: Beer, Michael, et al.
Publicado: (2020)

Uncertainty modeling: dedicated to professor Boris Kovalerchuk on his anniversary
por: Kreinovich, Vladik
Publicado: (2017)

Econometrics for financial applications
por: Anh, Ly H, et al.
Publicado: (2017)

Computational complexity and feasibility of data processing and interval computations
por: Kreinovich, Vladik, et al.
Publicado: (1998)

Uncertainty in Risk Assessment: The Representation and Treatment of Uncertainties by Probabilistic and Non-Probabilistic Methods
por: Flage, Roger
Publicado: (2014)

Algorithmic aspects of analysis, prediction, and control in science and engineering: an approach based on symmetry and similarity
por: Nava, Jaime, et al.
Publicado: (2015)

Recent developments and the new direction in soft-computing foundations and applications: selected papers from the 6th world conference on soft computing, May 22-25, 2016, Berkeley, USA
por: Zadeh, Lotfi A, et al.
Publicado: (2018)

Fuzzy techniques: proceedings of the 2019 joint world congress of the international fuzzy systems association and the annual conference of the North American fuzzy information processing society IFSA/NAFIPS'2019 (Lafayette, Louisiana, USA, June 18-21, 2019)
por: Kearfott, Ralph Baker, et al.
Publicado: (2019)

Dependability modelling under uncertainty: an imprecise probabilistic approach
por: Limbourg, Philipp
Publicado: (2008)

Constraint programming and decision making
por: Ceberio, Martine, et al.
Publicado: (2014)

Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview
por: Kreinovich, Vladik, et al.
Publicado: (2021)

Uncertainty data in interval-valued fuzzy set theory: properties, algorithms and applications
por: Pękala, Barbara
Publicado: (2018)

How interval and fuzzy techniques can improve teaching: processing educational data from traditional statistical techniques to an appropriate combination of probabilistic, interval, and fuzzy approaches
por: Kosheleva, Olga, et al.
Publicado: (2017)

Advance Trends in Soft Computing
por: Jamshidi, Mo, et al.
Publicado: (2014)

Why Dilated Convolutional Neural Networks: A Proof of Their Optimality
por: Contreras, Jonatan, et al.
Publicado: (2021)

Robustness in econometrics
por: Kreinovich, Vladik, et al.
Publicado: (2017)

Causal inference in econometrics
por: Huynh, Van-Nam, et al.
Publicado: (2016)

7th International Conference of the Thailand Econometric Society
por: Huynh, Van-Nam, et al.
Publicado: (2014)

Probabilistic numerics and uncertainty in computations
por: Hennig, Philipp, et al.
Publicado: (2015)

Why Spiking Neural Networks Are Efficient: A Theorem
por: Beer, Michael, et al.
Publicado: (2020)

Experimentation, Validation, and Uncertainty Analysis for Engineers
por: Coleman, Hugh
Publicado: (2018)

Econometrics of risk
por: Huynh, Van-Nam, et al.
Publicado: (2015)

6th International Conference of the Thailand Econometric Society
por: Huynh, Van-Nam, et al.
Publicado: (2013)

Risk, Opportunity, Uncertainty and Other Random Models
por: Jones, Alan
Publicado: (2018)

Interval probabilistic neural network
por: Kowalski, Piotr A., et al.
Publicado: (2015)

SUP: a probabilistic framework to propagate genome sequence uncertainty, with applications
por: Becker, Devan, et al.
Publicado: (2023)

Probabilistic strain optimization under constraint uncertainty
por: Yousofshahi, Mona, et al.
Publicado: (2013)

Probabilistic Deep Learning
por: Sick, Beate, et al.
Publicado: (2020)

Application of probabilistic modelling for the uncertainty evaluation of alignment measurements of large accelerator magnets assemblies
por: Doytchinov, Iordan Petrov, et al.
Publicado: (2018)

Notes on Computational Uncertainties in Probabilistic Risk/Safety Assessment
por: Rauzy, Antoine
Publicado: (2018)

Classifier uncertainty: evidence, potential impact, and probabilistic treatment
por: Tötsch, Niklas, et al.
Publicado: (2021)

Probabilistic conditional independence structures
por: Studeny, Milan
Publicado: (2005)

Probabilistic Models for Dynamical Systems
por: Benaroya, Haym, et al.
Publicado: (2013)

Advances in probabilistic graphical models
por: Lucas, Peter, et al.
Publicado: (2007)

Application of probabilistic methods to address variability and uncertainty in estimating risks for non-cancer health effects
por: Nielsen, Greylin H., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ugkq36lgh1dvo5kp9c5imt5stq