Evolutionary Higher-Order Concept Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{kennedy:1998:ehocl,

• author = "Claire J. Kennedy",
• title = "Evolutionary Higher-Order Concept Learning",
• booktitle = "Late Breaking Papers at the Genetic Programming 1998 Conference",
• year = "1998",
• editor = "John R. Koza",
• pages = "113 and 258",
• address = "University of Wisconsin, Madison, Wisconsin, USA",
• publisher_address = "Stanford, CA, USA",
• month = "22-25 " # jul,
• publisher = "Stanford University Bookstore",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.cs.bris.ac.uk/Publications/Papers/1000281.pdf",
• size = "1+1 page",
• abstract = "Current concept learners are limited in their applicability as they generally rely on comparatively poor knowledge representation facilities (e.g. attribute value pairs, flattened horn clauses). The work carried out in support of my thesis has involved extending concept learning to a higher order setting by developing a novel representation based on closed Escher terms for highly structured data. The added expressiveness offered by the proposed representation results in an explosion of the search space, which is compounded by the increased complexity of its structure. This paper describes an investigation into the use of genetic programming techniques to allow the exploitation of higher-order features during the induction of structured concept descriptions.",
• notes = "GP-98LB, GP-98PhD Student Workshop",

}

Genetic Programming entries for Claire J Kennedy

Citations