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Bayesian knowledge discover
| Глоссарий по искусственному интеллекту |
Bayesian knowledge discoverer is a freely available program to construct and estimate bayesian belief networks. it can automatically estimate the network and export the results in the bayesian network interchange format (bnif). see also: bayesian network interchange format, belief net, http://kmi.open.ac.uk/projects/bkd
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Discoverer, английский
Automatically, английский
Interchange, английский
- Пересечение дорог в разных уровнях, транспортная развязка
- A collection of one or more document instances that comprises a single transmission and is exchanged from application to application within an organization or from one trading partner to another.
- Операции (банкоматов) с кредитными карточками чужих
- A station where passenger may alight from one train and board another on a different route. in the us it is referred to as a "transfer".
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Bayesian hierarchical model, английский
Bayesian hierarchical models specify layers of uncertainty on the phenomena being modeled and allow for multi-level heterogeneity in models for attributes. a base model is specified for the lowest level observations, and its parameters are specified by prior distributions for the parameters. each level above this also has a model that can include other parameters or prior distributions.
Bayesian methods, английский
Bayesian methods provide a formal method for reasoning about uncertain events. they are grounded in probability theory and use probabilistic techniques to assess and propagate the uncertainty. see also: certainty, fuzzy sets, possibility theory, probability. bayesian network (bn) a bayesian network is a graphical model that is used to represent probabilistic relationships among a set of attributes. the nodes, representing the state of attributes, are connected in a directed acyclic graph (dag). the arcs in the network represent probability models connecting the attributes. the probability models offer a flexible means to represent uncertainty in knowledge systems. they allow the system to specify the state of a set of attributes and infer the resulting distributions in the remaining attributes. the networks are called bayesian because they use the bayes theorem to propagate uncertainty throughout the network. note that the arcs are not required to represent causal directions but rather represent directions that probability propagates. see also: bayes theorem, belief net, influence diagrams. bayesian network interchange format (bnif) the bayesian network interchange format (bnif) is a proposed format for describing and interchanging belief networks. this will allow the sharing of knowledge bases that are represented as a bayesian network (bn) and allow the many bayes networks to interoperate. see also: bayesian network.
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