- author = "Karl A Benson",
- title = "Evolving Automatic Target Detection Algorithms that logically Combine Decision Spaces",
- booktitle = "Proceedings of the 11th British Machine Vision Conference",
- year = "2000",
- pages = "685--694",
- address = "Bristol, UK",
- month = "11-14 " # sep,
- editor = "Majid Mirmehdi and Barry Thomas",
- publisher = "BMVA Press",
- keywords = "genetic algorithms, genetic programming, classification",
- ISBN = "1-901725-13-8",
-
URL = "
http://www.bmva.ac.uk/bmvc/2000/papers/p69.pdf",
- size = "10 pages",
- abstract = "In this paper a novel approach to performing classification is presented. Discriminant functions are constructed by combining selected features from the feature set with simple mathematical functions such as + - times divide max min. These discriminant functions are capable of forming nonlinear discontinuous hypersurfaces. For multimodal data more than one discriminant function maybe combined with logical operators before classification is performed. An algorithm capable of making decisions as to whether a combination of discriminant functions is needed to classify a data sample, or whether a single discriminant function will suffice, is developed. The algorithms used to perform classification are not written by a human. The algorithms are learnt, or rather evolved, using Evolutionary Computing techniques.",
-
notes = "
https://hdl.handle.net/1983/32ddefe3-ebe8-4571-b80b-4f7ad4f949d9",
