Results 21 to 30 of about 907,345 (263)
A Sequential Algorithm for Signal Segmentation
Entropy, 2018 The problem of event detection in general noisy signals arises in many applications; usually, either a functional form of the event is available, or a previous annotated sample with instances of the event that can be used to train a classification ...
Paulo Hubert +2 more
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Bayesian methods for classification inappropriate web pages
Visión Electrónica, 2017 The incursion of the Internet has created new forms of information and communication, but it can also carry great dangers, when its use is related to inappropriate content, such as, access to harmful contents and the rise of new kinds of crimes.
Jorge E. Rodríguez R +1 more
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Nuclear waste characterization using Bayesian methods [PDF]
EPJ Web of ConferencesThe relance of the nuclear industrial sector in France is an ambitious plan expected to meet the energy needs of the general public in the 21st century. Along with the construction of new nuclear power plants, advancements are taking place in the fields ...
Chalil Achment +5 more
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Entropy, 2018 The 37th edition of MaxEnt was held in Brazil, hosting several distinguished researchers and students. The workshop offered four tutorials, nine invited talks, twenty four oral presentations and twenty seven poster presentations. All submissions received
Teresa C. M. Dias +3 more
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Bayesian Reconstruction of Missing Observations [PDF]
, 2015 We focus on an interpolation method referred to Bayesian reconstruction in this paper. Whereas in standard interpolation methods missing data are interpolated deterministically, in Bayesian reconstruction, missing data are interpolated probabilistically ...
Kataoka, Shun +2 more
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Сравнительная политикаThis article endeavors to construct a composite indicator designed to facilitate the comparative assessment of institutional capacities across diverse political systems.
I. Ye. Gorelskiy
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Bayesian inference: more than Bayes’s theorem
Frontiers in Astronomy and Space SciencesBayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function.
Thomas J. Loredo, Robert L. Wolpert
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Incorporation of genuine prior information in cost-effectiveness analysis of clinical trial data [PDF]
, 2002 The Bayesian approach to statistics has been growing rapidly in popularity as an alternative to the frequentist approach in the appraisal of heathcare technologies in clinical trials.
O'Hagan, A., Stevens, J.W.
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Bayesian methods for analyzing true-and-error models [PDF]
Judgment and Decision Making, 2018 Birnbaum and Quispe-Torreblanca (2018) evaluated a set of six models developed under true-and-error theory against data in which people made choices in repeated gambles.
Michael D. Lee
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Bayesian Methods for Exoplanet Science
, 2017 Exoplanet research is carried out at the limits of the capabilities of current telescopes and instruments. The studied signals are weak, and often embedded in complex systematics from instrumental, telluric, and astrophysical sources.
A Claret +48 more
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