[Structural descriptions. Discrimination and learning of these descriptions].
In order for the computer to learn about objects, the user must first provide a good description language for these objects. In this paper we present a new description language which is structural. Structural descriptions portray objects as composite structures consisting of various components. Structural descriptions can be contrasted with attribute descriptions, which specify only global properties of an object. Attribute descriptions can be expressed using propositional logic. Structural descriptions, however, must be expressed in first-order logic. We present how this language works, why it is suitable for biochemical objects and how one can discriminate on structural descriptions. Finally, we present an application on learning about tRNA which has yielded very good results brings evident of feasibility.
D001483:Base Sequence; D003201:Computers; D004193:Discrimination Learning; D008128:Logic; D012343:RNA, Transfer; D012984:Software
D012343:RNA, Transfer
Descriptions structurelles. Discrimination et apprentissage sur ces descriptions.