Integrating abduction and induction in machine learning Export

@misc{citeulike:2693466, abstract = {This paper discusses the integration of traditional abductive and inductive reasoning methods in the development of machine learning systems. In particular, the paper discusses our recent work in two areas: 1) The use of traditional abductive methods to propose revisions during theory refinement, where an existing knowledge base is modified to make it consistent with a set of empirical data; and 2) The use of inductive learning methods to automatically acquire from examples a diagnostic...}, author = {Mooney, R.}, citeulike-article-id = {2693466}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.4476}, keywords = {1997, logic}, posted-at = {2008-05-16 17:26:28}, priority = {2}, title = {Integrating abduction and induction in machine learning}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.4476}, year = {1997} }

TY - GEN ID - citeulike:2693466 L3 - citeulike-article-id:2693466 N2 - This paper discusses the integration of traditional abductive and inductive reasoning methods in the development of machine learning systems. In particular, the paper discusses our recent work in two areas: 1) The use of traditional abductive methods to propose revisions during theory refinement, where an existing knowledge base is modified to make it consistent with a set of empirical data; and 2) The use of inductive learning methods to automatically acquire from examples a diagnostic... TI - Integrating abduction and induction in machine learning KW - 1997 KW - logic AU - Mooney, R PY - 1997/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.4476 ER -