Results 31 to 40 of about 1,624,324 (312)
Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy
Entropy, 2017 Variable selection methods play an important role in the field of attribute mining. The Naive Bayes (NB) classifier is a very simple and popular classification method that yields good results in a short processing time.
Joaquín Abellán, Javier G. Castellano
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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
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Quantum Mechanics and Imprecise Probability [PDF]
Journal of Statistical Physics, 2008 An extension of the Born rule, the {\it quantum typicality rule}, has recently been proposed [B. Galvan: Found. Phys. 37, 1540-1562 (2007)]. Roughly speaking, this rule states that if the wave function of a particle is split into non-overlapping wave packets, the particle stays approximately inside the support of one of the wave packets, without ...
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Climate change and urban well-being: a methodology based on Sen theory and imprecise probabilities
Aestimum, 2020 The phenomenon of urban heat waves are becoming a significant public health problem in the summer season. Global warming is therefore not only an environmental problem, but also an ethical and political issue of climate justice. The research was based on
Iacopo Bernetti +3 more
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Mathematics, 2023 The COVID-19 pandemic has brought health systems to the brink of collapse in several regions around the world, as the demand for health care has outstripped the capacity of their services, especially regarding intensive care.
Eduarda Asfora Frej +6 more
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Imprecise Probabilities from Imprecise Descriptions of Real Numbers [PDF]
, 2009 A prototype theory interpretation of the label semantics framework is proposed as a possible model of imprecise descriptions of real numbers. It is shown that within this framework conditioning given imprecise descriptions of a real variable naturally results in imprecise probabilities.
Ines, Gonzalez +2 more
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Sensors, 2020 Supervised hyperspectral image (HSI) classification relies on accurate label information. However, it is not always possible to collect perfectly accurate labels for training samples.
Meizhu Li +4 more
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Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers [PDF]
International Journal of Computational Intelligence Systems, 2012 Determining whether an imprecise dataset is imbalanced is not immediate. The vagueness in the data causes that the prior probabilities of the classes are not precisely known, and therefore the degree of imbalance can also be uncertain.
AnaM. Palacios +2 more
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Probabilistic satisfiability with imprecise probabilities
International Journal of Approximate Reasoning, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hansen, Pierre +4 more
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Imprecise Probabilities and Unstable Betting Behaviour [PDF]
Noûs, 2018 AbstractMany have argued that a rational agent's attitude towards a proposition may be better represented by a probability range than by a single number. I show that in such cases an agent will have unstable betting behaviour, and so will behave in an unpredictable way.
Anna Mahtani
semanticscholar +3 more sources