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SYNTHESE
2010
101views more  SYNTHESE 2010»
13 years 9 months ago
Bayesian probability
“Bayesian probability” here means the concept of probability used in Bayesian decision theory. It is usually identified with the agent’s degrees of belief but that interpret...
Patrick Maher
AUSAI
1998
Springer
14 years 2 months ago
Adjusted Probability Naive Bayesian Induction
Naive Bayesian classi ers utilise a simple mathematical model for induction. While it is known that the assumptions on which this model is based are frequently violated, the predic...
Geoffrey I. Webb, Michael J. Pazzani
ISIPTA
1999
IEEE
107views Mathematics» more  ISIPTA 1999»
14 years 3 months ago
Imprecise and Indeterminate Probabilities
Bayesian advocates of expected utility maximization use sets of probability distributions to represent very different ideas. Strict Bayesians insist that probability judgment is n...
Isaac Levi
CIG
2005
IEEE
14 years 4 months ago
Incrementally Learned Subjectivist Probabilities in Games
In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
Colin Fyfe
CORR
2008
Springer
106views Education» more  CORR 2008»
13 years 11 months ago
Quantization of Prior Probabilities for Hypothesis Testing
Abstract--In this paper, Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and c...
Kush R. Varshney, Lav R. Varshney