Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/799

 Title: DIAGaRa: An Incremental Algorithm for Inferring Implicative Rules from Examples Authors: Naidenova, Xenia Keywords: Incremental and Non-incremental LearningLearning from ExamplesMachine LearningCommon Sense ReasoningInductive InferenceGood Diagnostic TestLattice Theory Issue Date: 2005 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: 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. URI: http://hdl.handle.net/10525/799 ISSN: 1313-0463 Appears in Collections: Volume 12 Number 2

Files in This Item:

File Description SizeFormat