Dept. of Syst. Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland;
genetic algorithms; learning (artificial intelligence); pattern classification; CRUMP; classifier design; classifier ensembles; classifier pool; ensemble learning; genetic algorithm; individual classifier outputs; individual output optimal combination; mutually complimentary classifier; optimization task; simultaneous combination rule training and ensemble pruning algorithm; Accuracy; Biological cells; Diversity reception; Optimization; Sociology; Statistics; Training;
机译:基于聚类和修剪的选择性模式训练分布式GP集成模式分类。
机译:训练合作神经网络集成的修剪算法
机译:神经网络集成体的混合序贯同步训练算法
机译:同步组合规则训练与集合修剪算法的实验
机译:基于扩展卡尔曼滤波器的修剪算法以及神经网络学习的多个方面。
机译:基于边距的帕累托组合修剪:一种学习搜索优化组合的组合修剪算法
机译:基于模式挖掘思想的集合修剪算法研究