Bayesian inference
Bayesian inference is statistical inference in which probabilities are interpreted not as frequencies or proportions or the like, but rather as degrees of belief. In other words, it attempts to reduce statistical inference to Bayesian probability. Bayesian inference has applications in artificial intelligence and expert systems.
For a worked example of one form of Bayesian inference, see naive Bayesian classification.
In some applications fuzzy logic is an alternative to Bayesian inference. Fuzzy logic and Bayesian inference, however, are mathematically and semantically not compatible: You cannot, in general, understand the degree of truth in fuzzy logic as probability and vice versa.
Applications
Bayesian inference techniques have been a fundamental part of computerized pattern recognition techniques since the late 1950s. There is growing interest in using Bayesian inference to filter spam. For example: Bogofilter, SpamAssassin and Mozilla.
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Referenced By
Bayes' Theorem | Bayes' rule | Bayes Theorem | Bayesian | Bayesian probability | Bayesianism | Baysian | Conceptual graph | Epistemic probability | Fuzzy control system | Hempel's paradox | Hidden Markov Model | Learning theory (statistics) | Likelihood | Likelihood density function | Likelihood function | List of probability topics | List of statistical topics | List of topics (Scientific Method) | Methodological reductionism | Naive Bayesian classification | Naive Bayesian classifier | Occam's Razor | Occams razor | Ockham's Razor | Parsimonious explanation | PersonalProbability | Personal Probability | ProbabilityApplications | Probability Applications | Quasi-empirical methods | Raven paradox | Subjective probability | Unsupervised learning
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