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Proceedings of the eighth ACM symposium on Solid modeling and applications - SM '03
This paper describes a new approach to automate the classification of solid models using machine learning techniques. Existing approaches, based on group technology, fixed matching algorithms or pre-defined feature sets, impose a priori categorization schemes on engineering data or require significant human labeling of design data. This paper describes a shape learning algorithm and a general technique for "teaching" the algorithm to identify new or hidden classifications that are relevant indoi:10.1145/781650.781659 fatcat:s3w3f2cfhvfenid4cn5cis7kry