Automatic Selection Of Features For Classification Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{oai:CiteSeerPSU:263920,

• author = "J. Sherrah and R. Bogner and B. Bouzerdoum",
• title = "Automatic Selection Of Features For Classification Using Genetic Programming",
• booktitle = "Proceedings of the 1996 Australian and New Zealand Conference on Intelligent Information Systems",
• year = "1996",
• pages = "284--287",
• address = "Adelaide, SA, Australia",
• month = "18.-20 " # nov,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://citeseer.ist.psu.edu/cache/papers/cs/3420/ftp:zSzzSzaugean.eleceng.adelaide.edu.auzSzpubzSzjsherrahzSzeprep_anziis96.pdf/sherrah96automatic.pdf",
• URL = "http://citeseer.ist.psu.edu/sherrah96automatic.html",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:263920",
• rights = "unrestricted",
• URL = "http://citeseer.ist.psu.edu/263920.html",
• abstract = "Classifier design often involves the hand-selection of features, a process which relies on human experience and heuristics. We present the Evolutionary Pre-processor, a system which automatically extracts features for a range of classification problems. The Evolutionary Pre-processor uses genetic programming to allow useful features to emerge from the data, simulating the innovative work of the human designer. The Evolutionary Pre-processor improved the classification performance of a linear machine on two real-world problems. Although these problems are intuitively difficult to solve, the Evolutionary Pre-processor was able to generate complex feature sets. The classification results are comparable with those achieved by other classifiers",

}

Genetic Programming entries for Jamie R Sherrah Robert E Bogner B Bouzerdoum

Citations