Preprocessing under uncertainty [PDF]
, 2015 In this work we study preprocessing for tractable problems when part of the input is unknown or uncertain. This comes up naturally if, e.g., the load of some machines or the congestion of some roads is not known far enough in advance, or if we have to ...
Fafianie, Stefan +2 more
core +2 more sources
Possibly extreme, probably not: Is possibility theory the route for risk‐averse decision‐making?
Atmospheric Science Letters, 2021 Ensemble forecasting has become popular in weather prediction to reflect the uncertainty about high‐dimensional, nonlinear systems with extreme sensitivity to initial conditions.
Noémie Le Carrer
doaj +1 more source
Dynamic co-movements of stock market returns, implied volatility and policy uncertainty [PDF]
, 2013 We examine time-varying correlations among stock market returns, implied volatility and policy uncertainty. Our findings suggest that correlations are indeed time-varying and sensitive to oil demand shocks and US recessions.
Antonakakis, N. +2 more
core +1 more source
Assessment of flood damages and benefits of remedial actions: "What are the weak links?"; with application to the Loire [PDF]
, 1995 Flood damage models are used to determine the impact of measures to reduce damage due to river flooding. Such models are characterized by uncertainty. This uncertainty may affect the decisions made on the basis of the model outcomes.
Blois, C.J. de, Wind, H.G.
core +2 more sources
Impact of ploidy and pathogen life cycle on resistance durability
Peer Community Journal, 2021 The breeding of resistant hosts based on the gene-for-gene interaction is crucial to address epidemics of plant pathogens in agroecosystems. Resistant host deployment strategies are developed and studied worldwide to decrease the probability of ...
Saubin, Méline +4 more
doaj +1 more source
Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings [PDF]
, 2011 Recently, evidence has emerged that humans approach learning using Bayesian updating rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem. Here, we investigate what this implies for human appreciation of uncertainty.
A Quinn +49 more
core +5 more sources
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Recognizing Uncertainty in Speech [PDF]
, 2010 We address the problem of inferring a speaker's level of certainty based on prosodic information in the speech signal, which has application in speech-based dialogue systems.
Pon-Barry, Heather, Shieber, Stuart M.
core +3 more sources
The Uncertainty of Science and the Science of Uncertainty [PDF]
American Journal of Neuroradiology, 2010 Halfway through Roberto Bolano's chef d'oeuvre 2666 : A Novel (Farrar, Straus and Giroux, 2004), one character declares, “If you know, you know, if you do not know, you learn.” In that book, 4 academics, a journalist, and several policemen search for the bizarre truth behind a horrific ...
openaire +3 more sources
Geographic variation in walking activity in the red flour beetle Tribolium castaneum
Population Ecology, EarlyView.This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley +1 more source