Typical Testors Generation Based on an Evolutionary Algorithm

• Published in: Intelligent Data Engineering and Automated Learning - IDEA 2011 Vol. 6936; pp. 58 - 65
• Main Authors: Diaz-Sanchez, German, Piza-Davila, Ivan, Sanchez-Diaz, Guillermo, Mora-Gonzalez, Miguel, Reyes-Cardenas, Oscar, Cardenas-Tristan, Abraham, Aguirre-Salado, Carlos
• Format: Book Chapter
• Language: English
• Published: Germany Springer Berlin / Heidelberg 2011; Springer Berlin Heidelberg
• Series: Lecture Notes in Computer Science
• Subjects: Artificial intelligence; feature selection; Hill climbing; Information retrieval; optimization; typical testors

Typical testors are useful for both feature selection and feature relevance determination in supervised classification problems. However, reported algorithms that address the problem of finding the set of all typical testors have exponential complexity. In this paper, we propose to adapt an evolutio...