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Newsletter September 2013

Detectors explained


How to create e detector for your target class

A detector is a classifier that focuses only on one class of interest. It can be very handy especially when we have lot of samples of one specific target class and do not know much about the other classes.

In this tutorial you will learn how to construct a detector in one-class scenario or when non-targets are also present.

Watch this 5 minute video to find out more.

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How to work with nominal features?

Feature highlight

Nominal features: How to make sure the categoric representation is correct in different data sets

A nominal feature captures an object quality, described in several categories. An example is a person's country of origin or occupation. Let's assume we have two data sets. As designers, we must make sure that the nominal feature is described in the same way in both data sets. But what if one or more nominal categories are not present in our training set?
In this article, we walk through a database application example that explains how to deal with nominal data representation.
Read more in our Knowledge Base article.