Results 211 to 220 of about 5,031,588 (250)
Inference to the Best Explanation, Bayesianism, and Knowledge
, 2018 How do we reconcile the claim of Bayesianism to be a correct normative theory of scientific reasoning with the explanationists’ claim that Inference to the Best Explanation (IBE) provides a correct description of our inferential practices?
Alexander Bird
exaly +2 more sources
Bayesianism: Science or Pseudoscience?
International Review of Victimology, 2008 This is a criticism of Bayesianism, the opinion that all probabilities are a matter of opinion, hence beyond objective tests. It is shown that the mathematical concept of a probability function makes no room for a person, and that in physics, chemistry ...
Mario Bunge
exaly +2 more sources
Probabilistic Sophistication and Reverse Bayesianism [PDF]
Journal of Risk and Uncertainty, 2015 This paper extends our earlier work on reverse Bayesianism by relaxing the assumption that decision makers abide by expected utility theory, assuming instead weaker axioms that merely imply that they are probabilistically sophisticated.
Edi Karni
exaly +2 more sources
Probabilistic Alternatives to Bayesianism: The Case of Explanationism [PDF]
Frontiers in Psychology, 2015 Jonah Schupbach, Igor Douven
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Bayesian Object Localisation in Images
International Journal of Computer Vision, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Josephine Sullivan +3 more
openaire +1 more source
Geophysical Monograph Series, 2018 Chapter 4 focuses on Bayesian confirmation theory, a formal theory of reasoning based on probability theory. It deals with important, and related, general ideas, such as rationality, confirmation, and inductive inference, including statistical inference.
Jef Caers, Céline Scheidt, Lewis Li
exaly +2 more sources
Distributed Bayesian object recognition
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2002A new paradigm for performing realistic object recognition is presented. It is shown how several intuitive notions in the context of geometric hashing can be translated into a well-founded Bayesian approach to object recognition. This interpretation leads to well-justified formulas and gives a precise weighted-voting method for the evidence-gathering ...
Isidore Rigoutsos, Robert A. Hummel
openaire +2 more sources
Object localization by Bayesian correlation
Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999Maximisation of cross correlation is a commonly used principle for intensity based object localization that gives a single estimate of location. However, to facilitate sequential inference (e.g. over time or scale) and to allow the representation of ambiguity, it is desirable to represent an entire probability distribution for object location. Although
Josephine Sullivan +3 more
openaire +1 more source
Quantum Bayesianism as the Basis of General Theory of Decision-Making [PDF]
Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2016 Andrei Khrennikov
exaly +2 more sources