In the summer of 2001, Ritter started development on anti-spam technology using machine-learning statistical classification algorithms.

This effect is common in fuzzy logic based classification algorithms, where membership in one class or another is ambiguous.

The system uses automatic classification algorithms with elements of machine learning to assign research projects to the relevant categories.

These manually classified projects become training sets for the automatic classification algorithms with elements of machine learning.

The conditional probabilities, , provide excellent error characterization, therefore the classification algorithm ought to return them.

Other linear classification algorithms include Winnow, support vector machine and logistic regression.

In information retrieval and machine learning literature, classification algorithms have been used to automatically identify the subject matter of a web page.

A theoretical analysis of this search problem has been presented as the no free lunch theorem: No particular classification algorithm is 'the best' for all problems.

Weka a similar project by the University of Waikato, with a focus on classification algorithms.

The application should use a classification algorithm that is robust to outliers to model data with naturally occurring outlier points.