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- W2388333139 abstract "This paper improves L2Boosting algorithm by using the idea of sufficient dimension reduction and proposes a Local Correlation based L2Boosting(LCBoosting) algorithm.In each iteration,LCBoosting algorithm extracts information sufficiently according to the local correlation between response variable and covariant,gets a linear combination of response variable to join the Boosting iteration,and avoids analyzing all the variables one by one.Simulation results show that compared with L2Boosting algorithm,LCBoosting has better performance on the convergence rate and prediction precision." @default.
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- W2388333139 date "2010-01-01" @default.
- W2388333139 modified "2023-09-28" @default.
- W2388333139 title "L2Boosting Algorithm Based on Local Correlation" @default.
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