Integrated learning algorithm based on the dynamic model of credibility View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2010-2012

FUNDING AMOUNT

180000 CNY

ABSTRACT

By integrating learning can effectively improve the generalization ability of machine learning system from the beginning of the 1990s, research on the integration of learning theory and algorithms has become a hotspot of machine learning, machine learning is still the general concern research one. AdaBoost learning algorithm as an integrated one of the most representative algorithm is the most widely used integration algorithm, one of the richest research branch of learning. This project AdaBoost algorithm as a starting point, that type of algorithm performance and behavioral characteristics on different data sets were analyzed and discussed in-depth study of the dynamic model of credibility (Dynamic Model Credibility) technology, to further improve the dynamic model based on credibility the Boosting algorithm framework (referred DmcBoost algorithm), to improve the traditional AdaBoost algorithm accuracy and robustness of the different types of data sets, and tested and applied on a large scale practical problems. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=60905030

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