Integrating abduction and induction in machine learning

@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}, keywords = {abduction, ml-foundations, ml-philosophy}, posted-at = {2008-04-20 20:02:46}, priority = {2}, title = {Integrating abduction and induction in machine learning}, url = {http://citeseer.ist.psu.edu/mooney97integrating.html}, year = {1997} }

TY - GEN ID - citeulike:2693466 L3 - citeulike-article-id:2693466 TI - Integrating abduction and induction in machine learning 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... KW - abduction KW - ml-foundations KW - ml-philosophy AU - Mooney, R PY - 1997/// UR - http://citeseer.ist.psu.edu/mooney97integrating.html ER -