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- W2359894024 abstract "To solve the instability of the correlation between the preserved mutual information and the precision in sIB algorithm,an improved sequential IB algorithm CF-sIB is proposed based on the co-occurrence feature.The CF-sIB algorithm applies the IB distortion function to measure the similarity between the clusters in different solutions,rather than the similarity between the clusters in the same solution.The CF-sIB extracts the common characteristic solution from the sIB solutions,utilizes the mutation framework to improve the common characteristic solution,and finally converge to a better solution.The experimental results show that the CF-sIB can preserve more mutual information and achieve higher precision than the sIB." @default.
- W2359894024 created "2016-06-24" @default.
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- W2359894024 date "2009-01-01" @default.
- W2359894024 modified "2023-09-28" @default.
- W2359894024 title "A Sequential IB Algorithm Based on Co-Occurrence Feature" @default.
- W2359894024 hasPublicationYear "2009" @default.
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