Statistico-syntactic learning techniques.

Abstract

The methods of "learning from examples" enable the solving of problems of classification: discrimination between two classes of objects, assimilation of an object to a class of objects representing a property. They are used in a situation where we don't know a priori a procedure in order to decide, but we have examples (in sufficient amount). After a learning stage with the examples, a procedure to solve the problem is built. In the exposed methodology the description of an object is a list of attributes, the acquired knowledge is sets of "rules" considered as arguments in favour of a particular decision.