{"type":"ScholarlyArticle","title":"Inductive Learning of Categories from Examples Using Minimum Cost Representations","authors":[{"name":"Steven L. Tanimoto","slug":"steven-l-tanimoto","given":"Steven L.","family":"Tanimoto","affiliation":""}],"abstract":"The problem of learning categories from a sequence of examples is considered in terms of maintaining a minimum-cost representation for the s et of categories. Categori es here are subse ts of a set of natural numbers. Computational aspects of the following problems are addr essed: (1) how are the category represent a tions updated as an incremental change is made to o ne catego ry, (2) how can a minimum cost representation for a new category be obtained in terms of existi ng ones? and (3) how does the enlargement of the known univers e of objects affec t representations of known ca te g ories? We then discuss extensions of our methodology to domains whi c h in c lude structure in the c ategori cal descripti o ns .","doi":null,"url":"https://ijcai.org/proceedings/1979/191","pdf":"https://ijcai.org/proceedings/1979/0191.pdf","markdown":"https://ijcai.org/proceedings/1979/191.md","bibtex":"https://ijcai.org/proceedings/1979/bibtex/191","volume":{"slug":"1979","title":"Proceedings of the Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1979","url":"https://ijcai.org/proceedings/1979/","year":1979,"location":"Tokyo, Japan","dates":"August 20-23, 1979","editors":"Bruce G. Buchanan","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":191,"pages":{"first":null,"last":null},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}