Results 261 to 270 of about 24,192 (287)

Applying Bayesian reasoning to electrocardiogram interpretation

Journal of Electrocardiology, 2023
Electrocardiograms (ECGs) are a cornerstone in cardiac care. Traditional statistical metrics like sensitivity and specificity are commonly used for diagnostic evaluations but are limited when applied in clinical settings due to their inability to incorporate pre-test likelihoods or individual patient context.
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A Bayesian model of legal syllogistic reasoning [PDF]

Artificial Intelligence and Law
Bayesian approaches to legal reasoning propose causal models of the relation between evidence, the credibility of evidence, and ultimate hypotheses, or verdicts. They assume that legal reasoning is the process whereby one infers the posterior probability
Axel Constant, Constant Axel
exaly   +1 more source

The Scope of Bayesian Reasoning

PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, 1992
The Bayesian view of inference has become popular in philosophy in recent years. Scientific Reasoning: a Bayesian Approach, by Colin Howson and Peter Urbach, represents an articulate and persuasive defense of the Bayesian view. We focus on the theme of that book, and argue that there are difficulties with Bayesianism, and alternatives worth considering.
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A bayesian framework for case-based reasoning

1996
In this paper we present a probabilistic framework for case-based reasoning in data-intensive domains, where only weak prior knowledge is available. In such a probabilistic viewpoint the attributes are interpreted as random variables, and the case base is used to approximate the underlying joint probability distribution of the attributes.
Henry Tirri, Petri Kontkanen, Petri Myllymäki   +2 more
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Eliciting an overlooked aspect of Bayesian reasoning

ACM SIGCSE Bulletin, 2007
Bayesian theorem is the theoretical basis of uncertainty management as well as the stochastic foundation for forecast-oriented expert systems. Mathematically, the reasoning steps can be represented by a sequence of probabilistic computations.
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On having no reason: dogmatism and Bayesian confirmation

Synthese, 2009
Recently in epistemology a number of authors have mounted Bayesian objections to dogmatism. These objections depend on a Bayesian principle of evidential confirmation: Evidence E confirms hypothesis H just in case Pr(H|E) > Pr(H). I argue using Keynes’ and Knight’s distinction between risk and uncertainty that the Bayesian principle fails to ...
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Why can it be so hard to solve Bayesian problems? Moving from number comprehension to relational reasoning demands

Thinking and Reasoning, 2022
Elisabet Tubau
exaly  

Bayesian Reasoning

2010
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An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning

Reliability Engineering and System Safety, 2021
A P Teixeira, Kezhong Liu, Qing Yu
exaly  

Essentials of Bayesian diagnostic reasoning

The Netherlands Journal of Medicine, 1995
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