Fields of Use
Nowadays, there are numerous techniques to develop information filters, some of these reach error rates lower than 10% in various experiments. Among these techniques there are decision trees, support vector machines, neural networks, Bayesian networks, linear discriminants, logistic regression, etc.. At present, these techniques are used in different applications, not only in the web context, but in thematic issues as varied as voice recognition, classification of telescopic astronomy or evaluation of financial risk.
Read more about this topic: Information Filtering System
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