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A neural network model of learning mathematical equivalence
Cognitive development mathematical equivalence problem solving neural network model
2015/6/23
The typical structure of equations influences how we learn the meaning of the equal sign. Previous studies have shown that as students gain experience with addition problems, they actually perform wor...
Neural network models and cognitive neuropsychology
Neural network models cognitive neuropsychology
2015/6/19
Neural network models and cognitive neuropsychology.
Extracting Deep Neural Network Bottleneck Features using Low-Rank Matrix Factorization
DNN Bottleneck features
2014/11/27
In this paper, we investigate the use of deep neural networks (DNNs) to generate a stacked bottleneck (SBN) feature representation for low-resource speech recognition. We examine different SBN extract...
Extracting Deep Neural Network Bottleneck Features Using Low-Rank Matrix Factorization
DNN Bottleneck features
2015/3/9
Extracting Deep Neural Network Bottleneck Features Using Low-Rank Matrix Factorization.
Learning Prosodic Focus from Continuous Speech Input:A Neural Network Exploration
Learning Prosodic Focus Continuous Speech Input A Neural Network Exploration
2012/12/18
This study uses connectionist modeling to explore whether and how infants might learn prosodic focus directly from continuous spee ch input. Focus is a communicati ve function that serves to put empha...