Application Of Hybrid Symbolic Ensembles To Gene Expression Analyses

Belgrade（2008）

引用 0|浏览2

暂无评分

摘要

This paper considers a class of hybrid (heterogeneous) ensembles purely composed of symbolic elements. In learning diagnostic rules from gene expressions they demonstrate a significant improvement of accuracy with a small number of ensemble elements. This makes them suitable for learning of understandable knowledge, leading to diagnosis and its explanation in original terms (attributes).

查看译文

关键词

inductive learning,symbolic methods,feature selection,combined classifiers,hybrid ensembles,gene expressions,diagnostics,application

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要