Examples of using Bayesian in English and their translations into Hungarian
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The Bayesian Approach to.
Their programs generate pixel interpolation based on Bayesian analysis.
Bayesian statistics is not rare.
And what it means is we really are Bayesian inference machines!
Bayesian interpretation of probability.
Some other e-mail clients include Bayesian filters, but SpamSieve is more accurate.
Bayesian interpretation of probabilities.
Data Mining Swarm- Based Computation Bayesian Networks Multimedia Systems Embedded Systems.
Bayesian Sequential Risk Taking Model.
LPA Data Mining tools support fuzzy, Bayesian and expert discovery and modeling of rules.
Bayesian network analysis-- will help me uncover hidden dynamics and covert architecture of this cult.
In other words, one can work with the naive Bayes model without believing in Bayesian probability or using any Bayesian methods.
The Bayesian approach to statistics.
In order to do this, we examine behavioural data from cognitive psychology experiments in machine learning systems,often using the tools of Bayesian statistics….
Added new"Bayesian Tools" item to the Window menu.
This provides a useful generalization- for example, sampling without replacement is not independent, but is exchangeable-and is widely used in Bayesian statistics.
Bayesian Network Software(Bayesian Doctor) is a simplest and quickest Bayesian Analysis tool from SpiceLogic Inc.
In a series of three papers,Games with Incomplete Information Played by'Bayesian' Players, Parts I, II and III, John Harsanyi constructed the theory of games of incomplete information.
It uses Bayesian filtering to filter your good email to your Inbox and spam and unsure emails to Inbox sub-folders….
As we go around, we learn about statistics of the world and lay that down, but we also learn about how noisy our own sensory apparatus is,and then combine those in a real Bayesian way.
And the key idea to Bayesian inference is you have two sources of information from which to make your inference.
This situation changed radically in 1967-68 when John Harsanyi published three articlesentitled Games with Incomplete Information Played by Bayesian Players,(Management Science 14, 159-82, 320-34 and 486-502).
Prior probability, in Bayesian statistical inference, is the probability of an event before new data is collected.
Junk-Out keeps junk mail out of your Microsoft Outlook Inbox,using a combination of statistical methods(Bayesian filtering) and information you provide, to show only e-mail messages you want to see.
A posterior probability, in Bayesian statistics, is the revised or updated probability of an event occurring after taking into consideration new information.
The“researcher” of tomorrow will need to possess both legacy skills(like traditional statistics, survey design and sampling, and econometric modeling)as well as new skills(Bayesian models, data management, and analysis at a massive scale).
Uses Bayesian filter, country of origin filter, embedded links country of origin filter, white list, black list, ignore list filters, easy to import friends list,….
Recently, careful analysis of the Bayesian classification problem has shown that there are some theoretical reasons for the apparently unreasonable efficacy of naive Bayes classifiers.
The Bayesian approach provides insights that are not feasible with traditional meta-analysis and reveals the likelihood of an outcome, making it easier for a doctor or patient to understand the results more clearly.
A naive Bayes classifier is a term in Bayesian statistics dealing with a simple probabilistic classifier based on applying Bayes' theorem with strong(naive) independence assumptions.