| dc.contributor | 國立政治大學心智、大腦與學習研究中心 | en_US |
| dc.creator (作者) | 楊立行;許清芳;鄭惟尹;蔡涵如 | zh_TW |
| dc.creator (作者) | Yang,Lee-Xieng | - |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 9-Oct-2013 17:27:31 (UTC+8) | - |
| dc.date.available | 9-Oct-2013 17:27:31 (UTC+8) | - |
| dc.date.issued (上傳時間) | 9-Oct-2013 17:27:31 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/61285 | - |
| dc.description.abstract (摘要) | The principal purpose of this study is to develop a categorization model with Bayesian theorems. The developed model SOE holds the assumptions that the percept of each input is represented as a normal distribution over the units on the stimulus dimension and that the classi cation is made by referencing the weighted strengths over the units within the scope of attention focus. SOE in this study is evident to be sensitive to the repetition of stimuli, stimulus order, and, the most important, the variability e ect in categorization. This e ect is thought to be a severe challenge to the exemplar-based models. However, the success of SOE suggests a possible exemplar-based account for this e ect. | - |
| dc.format.extent | 333103 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | 執行期間：9708-9809 | en_US |
| dc.title (題名) | 應用Bayesian架構發展分類學習模型 | zh_TW |
| dc.title.alternative (其他題名) | Categorization by local relationship among exemplars | - |
| dc.type (資料類型) | report | en |
