مقاله یادگیری آنلاین هسته ای قوی

عنوان مقاله فارسی: یادگیری آنلاین هسته ای قوی عنوان مقاله لاتین: Robust Recurrent Kernel Online Learning نویسندگان: Qing Song; Xu Zhao; Haijin Fan; Danwei Wang تعداد صفحات: 13 سال انتشار: 2017 زبان: لاتین Abstract: We propose a robust recurrent kernel online learning (RRKOL) algorithm based on the celebrated real-time recurrent learning approach that exploits the kernel trick in a recurrent online training manner. The novel RRKOL algorithm guarantees weight convergence with regularized risk management through the use of adaptive recurrent hyperparameters for superior generalization performance. Based on a new concept of the structure update error with a variable parameter length, we are the first one to propose the detailed structure update error, such that the weight convergence