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- W2513422012 abstract "A computationally efficient method to improve classification performance of a Deep Belief Network (DBN) is introduced. In the Pseudo Boost Deep Belief Network (PB-DBN), top layers are boosted while lower layers of the base classifiers share weights for feature extraction. PB-DBN maintains the same time complexity as a DBN with fast convergence to optimality by introducing the mechanism of pseudo boost. Experiments in classification show that after only a few iterations, the PB-DBN has higher accuracy than a classic DBN." @default.
- W2513422012 created "2016-09-16" @default.
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- W2513422012 date "2016-01-01" @default.
- W2513422012 modified "2023-09-25" @default.
- W2513422012 title "Pseudo Boosted Deep Belief Network" @default.
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- W2513422012 doi "https://doi.org/10.1007/978-3-319-44781-0_13" @default.
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