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- W2356069451 abstract "The study aims to improve the predication of TV audience rating and to provide relevant bodies with the guidance for decision-making.A modified Potential Support Vector Machine(P-SVM) was used to predict TV andience rating.The modified P-SVM model can optimize the parameter selection by integrating the evidence framework and introducing the prior information of samples in the optimized parameter selection of the model by Bayesian method.Audience rating data of a TV organization were used to measure its effectiveness.The results show that the modified method has the advantages over the fraditional one of the better performance in predicting and analyzing the real audience rating." @default.
- W2356069451 created "2016-06-24" @default.
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- W2356069451 date "2011-01-01" @default.
- W2356069451 modified "2023-09-23" @default.
- W2356069451 title "Medified Potential Support Vector Machine and Its Application in Predicting Audience Rating" @default.
- W2356069451 hasPublicationYear "2011" @default.
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