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A Novel Feature Selection and Extraction Technique for Classification
This paper presents a versatile technique for the purpose of feature selection and extraction - Class Dependent Features (CDFs).
Polyphonic Music Generation by Modeling Temporal Dependencies Using a RNN-DBN
In this paper, we propose a generic technique to model temporal dependencies and sequences using a combination of a recurrent neural network and a Deep Belief Network.
Learning Temporal Dependencies in Data Using a DBN-BLSTM
Since the advent of deep learning, it has been used to solve various problems using many different architectures.
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