RISE is a well-known multi-strategy learning algorithm that combines rule induction and instance-based learning. It achieves higher accuracy than some state-of-the-art learning algorithms, but for large data sets it has a very high average running time. This work presents the analysis and experimental evaluation of SUNRISE, a new multi-strategy learning algorithm based on RISE, developed to be faster than RISE with similar accuracy. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
De Pina, A. C., & Zaverucha, G. (2004). Improving the performance of the RISE algorithm. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3202, 518–520. https://doi.org/10.1007/978-3-540-30116-5_52
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