- author = "Ibrahim Kuscu",
- title = "Evolution of Learning Rules for Hard Learning Problems",
- booktitle = "Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming",
- year = "1996",
- editor = "Lawrence J. Fogel and Peter J. Angeline and Thomas Baeck",
- address = "San Diego",
- publisher_address = "Cambridge, MA, USA",
- month = feb # " 29-" # mar # " 3",
- publisher = "MIT Press",
- keywords = "genetic algorithms, genetic programming, Supervised Learning, Three Monk's Problems, Parity Problems",
- ISBN = "0-262-06190-2",
- broken = "http://www.cogs.susx.ac.uk/users/ibrahim/epconf.ps",
-
URL = "
http://citeseer.ist.psu.edu/rd/6296950%2C184922%2C1%2C0.25%2CDownload/http://citeseer.ist.psu.edu/cache/papers/cs/734/http:zSzzSzwww.cogs.susx.ac.ukzSzuserszSzibrahimzSzepconf.pdf/evolution-of-learning-rules.pdf",
-
URL = "
http://citeseer.ist.psu.edu/184922.html",
-
URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.4762",
- size = "9 pages",
- abstract = "Recent experiments with a genetic-based encoding schema are presented as a potentially useful tool in discovering learning rules by means of evolution. The representation strategy is similar to that used in genetic programming(GP) but it employs only a fixed set of functions to solve a variety of problems. In this paper, three Monk's and parity problems are tested. The results indicate the usefulness of the encoding schema in discovering learning rules for hard learning problems. The problems and future research directions are discussed within the context of GP practices.",
-
notes = "EP-96
http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8383
broken Nov 2023 Details from http://www.cogs.susx.ac.uk/users/ibrahim/academic.html",
