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Found 5 papers, 1 papers with code
Mongolian Questions Classification Based on Mulit-Head Attention
This paper proposes a classification model, which combines the Bi-LSTM model with the Multi-Head Attention mechanism.
L$^2$GC: Lorentzian Linear Graph Convolutional Networks For Node Classification
Specifically, we map the learned features of graph nodes into hyperbolic space, and then perform a Lorentzian linear feature transformation to capture the underlying tree-like structure of data.
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data
Then we use these data to train a DNN (Tel--Net).
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks
However if there exists strong atmospheric turbulence or the brightness of guide stars is low, the accuracy of wavefront measurements will be affected.
Mongolian Named Entity Recognition System with Rich Features
The system based on segmenting suffixes with all proposed features yields benchmark result of F-measure=84. 65 on this corpus.
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