Skip to main content
placeholder image

Automatic selection of features for classification using genetic programming

Conference Paper


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.

Publication Date


  • 1996

Citation


  • Sherrah, J., Bogner, R. E., & Bouzerdoum, A. (1996). Automatic selection of features for classification using genetic programming. In Proceedings of the Australian and New Zealand Conference on Intelligent Information Systems (pp. 284-287).

Scopus Eid


  • 2-s2.0-0030393867

Start Page


  • 284

End Page


  • 287

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.

Publication Date


  • 1996

Citation


  • Sherrah, J., Bogner, R. E., & Bouzerdoum, A. (1996). Automatic selection of features for classification using genetic programming. In Proceedings of the Australian and New Zealand Conference on Intelligent Information Systems (pp. 284-287).

Scopus Eid


  • 2-s2.0-0030393867

Start Page


  • 284

End Page


  • 287