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Prior Probabilities
 IEEE Transactions on Systems Science and Cybernetics
, 1968
"... e case of location and scale parameters, rate constants, and in Bernoulli trials with unknown probability of success. In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are uniquely determ ..."
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Cited by 260 (4 self)
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e case of location and scale parameters, rate constants, and in Bernoulli trials with unknown probability of success. In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are uniquely
The prior probabilities of phylogenetic trees
 Biol. Philos
, 2008
"... Abstract Bayesian methods have become among the most popular methods in phylogenetics, but theoretical opposition to this methodology remains. After providing an introduction to Bayesian theory in this context, I attempt to tackle the problem mentioned most often in the literature: the '' ..."
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Cited by 4 (0 self)
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;'problem of the priors''how to assign prior probabilities to tree hypotheses. I first argue that a recent objectionthat an appropriate assignment of priors is impossibleis based on a misunderstanding of what ignorance and bias are. I then consider different methods of assigning prior probabilities to trees
PRIOR PROBABILITIES AND REPRESENTATIONAL MOMENTUM
"... In previous experiments on representational momentum, participants judged whether a probe presented after a target vanished was at the same location where that target vanished or at a different location. Two experiments manipulated actual or expected prior probability a same response would be correc ..."
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In previous experiments on representational momentum, participants judged whether a probe presented after a target vanished was at the same location where that target vanished or at a different location. Two experiments manipulated actual or expected prior probability a same response would
Distance measures as prior probabilities
, 2000
"... Many learning algorithms, especially nonparametric ones, use distance measures as a source of prior knowledge about the domain. This paper shows how the work of Baxter and Yianilos provides a formal equivalence between distance measures and prior probability distributions in Bayesian inference. The ..."
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Many learning algorithms, especially nonparametric ones, use distance measures as a source of prior knowledge about the domain. This paper shows how the work of Baxter and Yianilos provides a formal equivalence between distance measures and prior probability distributions in Bayesian inference
The Importance of Prior Probabilities for Entry Page Search
 PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL
, 2002
"... An important class of searches on the worldwideweb has the goal to find an entry page (homepage) of an organisation. Entry page search is quite different from Ad Hoc search. Indeed a plain Ad Hoc system performs disappointingly. We explored three noncontent features of web pages: page length, nu ..."
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Cited by 152 (17 self)
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, number of incoming links and URL form. Especially the URL form proved to be a good predictor. Using URL form priors we found over 70% of all entry pages at rank 1, and up to 89% in the top 10. Noncontent features can easily be embedded in a language model framework as a prior probability.
Logical prior probability
 In Artificial General Intelligence
, 2012
"... Abstract. A Bayesian prior over firstorder theories is defined. It is shown that the prior can be approximated, and the relationship to previously studied priors is examined. 1 ..."
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Cited by 3 (1 self)
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Abstract. A Bayesian prior over firstorder theories is defined. It is shown that the prior can be approximated, and the relationship to previously studied priors is examined. 1
Wittgenstein on Prior Probabilities
 Proceedings of the Canadian Society for History and Philosophy of Mathematics
"... Wittgenstein did not write very much on the topic of probability. The little we have comes from a few short pages of the Tractatus, some ‘remarks ’ from the 1930’s, and the informal conversations which went on during that decade with the Vienna Circle. Nevertheless, Wittgenstein’s views were highly ..."
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Cited by 1 (1 self)
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Wittgenstein did not write very much on the topic of probability. The little we have comes from a few short pages of the Tractatus, some ‘remarks ’ from the 1930’s, and the informal conversations which went on during that decade with the Vienna Circle. Nevertheless, Wittgenstein’s views were highly
PRIOR PROBABILITIES: AN INFORMATIONTHEORETIC APPROACH
"... Abstract. General theoretical principles that enable the derivation of prior probabilities are of interest both in practical data analysis and, more broadly, in the foundations of probability theory. In this paper, it is shown that the general rule for the assignment of priors proposed by Jeffreys c ..."
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Abstract. General theoretical principles that enable the derivation of prior probabilities are of interest both in practical data analysis and, more broadly, in the foundations of probability theory. In this paper, it is shown that the general rule for the assignment of priors proposed by Jeffreys
SETS OF PRIOR PROBABILITIES AND BAYESIAN ROBUSTNESS
"... Abstract. We outline a brief review of the dierent approaches which use sets of probability measures as models for prior imprecise knowledge. This is a contribution to the Documentation Section on the website of the Society for ..."
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Abstract. We outline a brief review of the dierent approaches which use sets of probability measures as models for prior imprecise knowledge. This is a contribution to the Documentation Section on the website of the Society for
Results 1  10
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7,165