政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/61285

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政大機構典藏 > 研究中心 > 心智‧大腦與學習研究中心 > 國科會研究計畫 > Item 140.119/61285

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61285

Title:	應用Bayesian架構發展分類學習模型
Other Titles:	Categorization by local relationship among exemplars
Authors:	楊立行;許清芳;鄭惟尹;蔡涵如 Yang,Lee-Xieng
Contributors:	國立政治大學心智、大腦與學習研究中心
Date:	2009
Issue Date:	2013-10-09 17:27:31 (UTC+8)
Abstract:	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 classication 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 eect in categorization. This eect 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 eect.
Relation:	執行期間：9708-9809
Data Type:	report
Appears in Collections:	[心智‧大腦與學習研究中心 ] 國科會研究計畫

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96-2413-H-004-020-MY2.pdf		325Kb	Adobe PDF2	662	View/Open

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