BYY Harmony Learning, Model Selection, and Information Approach: Further Results

摘要：

After main results and the fundamentals of Bayesian Ying Yang (BYY) system and harmony learning is outlined, its ability on regularization and model selection is explained not only via its least complexity nature that minimizes the inner representation complexity, but also from an information transfer perspective. Moreover, with YingYang pairs described in full distributions instead of simply in conditional distributions, this learning framework is further extended to a more general form for regularization and model selection in a more complicated BYY system, via controlling both the complexity of inner representation and the complexity of parameters of all the parts in the system.

作者: Lei Xu

作者单位: Dept. of Computer Science and Engineering, Chinese Univ. of Hong Kong,Shatin, NT, Hong Kong, P.R. China

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 30-37

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）