Results 1 to 10 of about 5,031,588 (250)
Objective Bayesianism and the Maximum Entropy Principle [PDF]
Entropy, 2013 Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabilities; they should be calibrated to our evidence of physical probabilities; and they should otherwise equivocate sufficiently between the basic ...
Jon Williamson, Jürgen Landes
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Justifying Objective Bayesianism on Predicate Languages [PDF]
Entropy, 2015 Objective Bayesianism says that the strengths of one’s beliefs ought to be probabilities, calibrated to physical probabilities insofar as one has evidence of them, and otherwise sufficiently equivocal. These norms of belief are often explicated using the
Jon Williamson, Jürgen Landes
exaly +4 more sources
Ambiguity aversion, modern Bayesianism and small worlds [PDF]
Open Research Europe, 2021 The central question of this paper is whether a rational agent under uncertainty can exhibit ambiguity aversion (AA). The answer to this question depends on the way the agent forms her probabilistic beliefs: classical Bayesianism (CB ...
Nikitas Pittis +4 more
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The Objectivity of Subjective Bayesianism [PDF]
European Journal for Philosophy of Science, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan Michael Sprenger
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Bayesian models of object perception [PDF]
Current Opinion in Neurobiology, 2003 The human visual system is the most complex pattern recognition device known. In ways that are yet to be fully understood, the visual cortex arrives at a simple and unambiguous interpretation of data from the retinal image that is useful for the decisions and actions of everyday life.
Kersten, Daniel, Yuille, Alan L
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Many Objective Bayesian Optimization
CoRR, 2021 arXiv admin note: text overlap with arXiv:2101 ...
Lucia Asencio-Martín +1 more
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Object Perception as Bayesian Inference [PDF]
Annual Review of Psychology, 2004 We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical images are highly complex because they consist of many objects embedded in background clutter. Moreover, the image features of an object are extremely variable and ambiguous owing to the effects of ...
Kersten, Daniel +2 more
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Bayesian object matching [PDF]
Machine Learning, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Object-Oriented Bayesian Networks
CoRR, 2013 Appears in Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI1997)
Daphne Koller, Avi Pfeffer
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Bayesian Object Identification: Variants
Journal of Multivariate Analysis, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ritter, Gunter +1 more
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