DIAGaRa: An Incremental Algorithm for Inferring Implicative Rules from Examples
| Data(s) |
21/12/2009
21/12/2009
2005
|
|---|---|
| Resumo |
An approach is proposed for inferring implicative logical rules from examples. The concept of a good diagnostic test for a given set of positive examples lies in the basis of this approach. The process of inferring good diagnostic tests is considered as a process of inductive common sense reasoning. The incremental approach to learning algorithms is implemented in an algorithm DIAGaRa for inferring implicative rules from examples. |
| Identificador |
1313-0463 |
| Idioma(s) |
en |
| Publicador |
Institute of Information Theories and Applications FOI ITHEA |
| Palavras-Chave | #Incremental and Non-incremental Learning #Learning from Examples #Machine Learning #Common Sense Reasoning #Inductive Inference #Good Diagnostic Test #Lattice Theory |
| Tipo |
Article |
