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Bayesian reasoning in cosmology

, 2018
Mielczarek, Jakub, Szydłowski, Marek, Krawiec, Adam, Tambor, Paweł   +3 more
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Cognitive near-singularity: a possibility theorem and a witness-based protocol with a corpus case study. [PDF]

Front Artif Intell
Williams AE.
europepmc   +1 more source

MedClarify: An information-seeking AI agent for medical diagnosis with case-specific follow-up questions

Feuerriegel S, Wong HM, Heesen P, Janetzky P, Bendszus M.   +4 more
europepmc   +1 more source

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Bayesian reasoning for software testing

Proceedings of the FSE/SDP workshop on Future of software engineering research, 2010
Despite significant advances in software testing research, the ability to produce reliable software products for a variety of critical applications remains an open problem. The key challenge has been the fact that each program or software product is unique, and existing methods are predominantly not capable of adapting to the observations made during ...
Akbar Siami Namin, Mohan Sridharan
openaire   +1 more source

Reasoning patterns in Bayesian games

International Joint Conference on Autonomous Agents and Multiagent Systems, 2011
Bayesian games have been traditionally employed to describe and analyze situations in which players have private information or are uncertain about the game being played. However, computing Bayes-Nash equilibria can be costly, and becomes even more so if the common prior assumption (CPA) has to be abandoned, which is sometimes necessary for a faithful ...
Dimitrios Antos, Avi Pfeffer
openaire   +2 more sources

INTRODUCTION TO BAYESIAN REASONING

International Journal of Technology Assessment in Health Care, 2001
Interest in Bayesian analyses has increased recently, in part as a response to policy makers wanting sound scientific bases for health technology assessments, and associated healthcare funding decisions. This paper provides a brief and simplified description of Bayesian reasoning.
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Covariational reasoning in Bayesian situations [PDF]

Educational Studies in Mathematics
Previous studies on Bayesian situations, in which probabilistic information is used to update the probability of a hypothesis, have often focused on the calculation of a posterior probability.
Markus Vogel, Andreas Eichler, Stefan Krauss   +2 more
exaly   +5 more sources

BAYESIAN NETWORK REASONING WITH UNCERTAIN EVIDENCES

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2010
This paper investigates the problem of belief update in Bayesian networks (BN) with uncertain evidence. Two types of uncertain evidences are identified: virtual evidence (reflecting the uncertainty one has about a reported observation) and soft evidence (reflecting the uncertainty of an event one observes).
Yun Peng 0001, Shenyong Zhang, Rong Pan
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First-order Bayesian reasoning

1998
This paper briefly discusses problems with traditional Bayesian networks, and previous attempts at overcoming those problems, as a motivation for formulating a first-order knowledge based approach to Bayesian inference. The proposed first-order knowledge based approach endeavours to address each of the traditional Bayesian network problems.
Ingrid Fabian, Dale A. Lambert
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Modeling and Reasoning with Bayesian Networks

2009
This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity ...
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