Konferenční příspěvek

Somol P., Novovičová J., Pudil P.

Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2008

Proceedings of the International Conference on Health Infor

INSTICC Press

Madeira

2008

978-989-8111-19-7

RNDr. Petr Somol, Ph.D. (ÚTIA - Oddělení rozpoznávání obrazů)

feature selection, subset search, performance estimation, cl

One of the hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods. Feature selection has been a highly active area of research in recent years due to its potential to improve both the performance and economy of automatic decision systems in various applicational fields, with medical diagnosis being among the most prominent. Feature selection may also improve the performance of classifiers learned from limited data, or contribute to model interpretability.The number of available methods and methodologies has grown rapidly while promising important improvements. Yet recently many authors put this development in question, claiming that simpler older tools are actually better than complex modern ones -- which, despite promises, are claimed to actually fail in real-world applications.