Uncertainty Support Vector Machine and Its Applications View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2010-2013

FUNDING AMOUNT

320000 CNY

ABSTRACT

Developed in the traditional statistical learning theory based on the support vector machine is based on the probability space based on real random samples, it is difficult to deal with the real problem of machine learning based on non-random sample of non-probability space. Sure statistical learning theory is an important development and Extension traditional statistical learning theory, it establishes a statistically based machine learning based on a random sample of non-real deal with non-probability space. The project aims uncertain uncertain statistical learning theory based on the establishment of the system of support vector machine and applied to practical problems. The main contents: (1) measure the spatial structure of generalized uncertainty based on the generalized uncertainty sample having the largest interval hyperplane generalized uncertainty and uncertainty samples generalized measure of nuclear and convex programming model based on space; (2) Construction Measurement uncertainty, the set value of the measure and re-measure space based on non-random sample of solid support vector machine, uncertain interaction with the sample support vector machine based on probability space and random sets, intuitionistic fuzzy sets and unascertained set sample support vector machine; (3) gives the statistical learning theory has published a representative of non-traditional SVM interpretation; (4) uncertainty support vector machine in practical issues biometric recognition and text classification, and the like. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=61073121

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